Triple
T6437983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Personal Velocity |
E129945
|
entity |
| Predicate | featuresActor |
P15562
|
FINISHED |
| Object |
Mara Hobel
Mara Hobel is an American actress best known for her childhood role as Christina Crawford in the 1981 film "Mommie Dearest."
|
E598047
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Mara Hobel | Statement: [Personal Velocity, featuresActor, Mara Hobel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mara Hobel Context triple: [Personal Velocity, featuresActor, Mara Hobel]
-
A.
Lisa Eilbacher
Lisa Eilbacher is an American actress best known for her roles in 1980s films and television series, including prominent appearances in action and drama movies.
-
B.
Nina Loeb
Nina Loeb was an American socialite and member of the prominent Loeb banking family who married financier and Federal Reserve pioneer Paul Warburg.
-
C.
Caroline Heubel
Caroline Heubel was the mother of Jenny von Westphalen, who later became the wife of philosopher and economist Karl Marx.
-
D.
Amy Landecker
Amy Landecker is an American actress best known for her role as Sarah Pfefferman on the television series "Transparent."
-
E.
Eleanor Zellman
Eleanor Zellman, better known by her stage name Eleanor Audley, was an American actress famed for her distinctive voice work in classic Disney films and for roles in mid-20th-century radio and television.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Mara Hobel Triple: [Personal Velocity, featuresActor, Mara Hobel]
Generated description
Mara Hobel is an American actress best known for her childhood role as Christina Crawford in the 1981 film "Mommie Dearest."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mara Hobel Target entity description: Mara Hobel is an American actress best known for her childhood role as Christina Crawford in the 1981 film "Mommie Dearest."
-
A.
Lisa Eilbacher
Lisa Eilbacher is an American actress best known for her roles in 1980s films and television series, including prominent appearances in action and drama movies.
-
B.
Nina Loeb
Nina Loeb was an American socialite and member of the prominent Loeb banking family who married financier and Federal Reserve pioneer Paul Warburg.
-
C.
Caroline Heubel
Caroline Heubel was the mother of Jenny von Westphalen, who later became the wife of philosopher and economist Karl Marx.
-
D.
Amy Landecker
Amy Landecker is an American actress best known for her role as Sarah Pfefferman on the television series "Transparent."
-
E.
Eleanor Zellman
Eleanor Zellman, better known by her stage name Eleanor Audley, was an American actress famed for her distinctive voice work in classic Disney films and for roles in mid-20th-century radio and television.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c0084caac48190a7bc2ad8ba44536f |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c06964186c8190aeeb0038f4696032 |
completed | March 22, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6637ffa648190b39e9721c9a7c092 |
completed | March 27, 2026, 11:01 a.m. |
| NEDg | Description generation | batch_69c66769140881908bc016355b9c31e5 |
completed | March 27, 2026, 11:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c667e9e2a881908c5fe985c7463fc4 |
completed | March 27, 2026, 11:20 a.m. |
Created at: March 22, 2026, 4:45 p.m.