Triple
T2761924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Otto Frank |
E61240
|
entity |
| Predicate | father |
P120
|
FINISHED |
| Object |
Michael Frank
Michael Frank is a member of the Frank family, known primarily as a descendant of Otto Frank, the father of Anne Frank.
|
E342082
|
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: Michael Frank | Statement: [Otto Frank, father, Michael Frank]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Frank Context triple: [Otto Frank, father, Michael Frank]
-
A.
Michael Andrews
Michael Andrews is an American film composer and musician known for his atmospheric scores for movies such as Donnie Darko and Bridesmaids.
-
B.
Brian Schmetzer
Brian Schmetzer is an American soccer coach best known for leading Seattle Sounders FC to multiple MLS Cup titles and establishing the club as a perennial league contender.
-
C.
Richard Marks
Richard Marks was an American film editor known for his work on numerous acclaimed movies, including the culinary drama "Julie & Julia."
-
D.
Michael Gaeta
Michael Gaeta is a film producer best known for his work on genre movies, including the 2011 remake of the horror-comedy "Fright Night."
-
E.
Neil Kopp
Neil Kopp is an American film producer known for his work on acclaimed independent films, including the thriller "Green Room."
- 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: Michael Frank Triple: [Otto Frank, father, Michael Frank]
Generated description
Michael Frank is a member of the Frank family, known primarily as a descendant of Otto Frank, the father of Anne Frank.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michael Frank Target entity description: Michael Frank is a member of the Frank family, known primarily as a descendant of Otto Frank, the father of Anne Frank.
-
A.
Michael Andrews
Michael Andrews is an American film composer and musician known for his atmospheric scores for movies such as Donnie Darko and Bridesmaids.
-
B.
Brian Schmetzer
Brian Schmetzer is an American soccer coach best known for leading Seattle Sounders FC to multiple MLS Cup titles and establishing the club as a perennial league contender.
-
C.
Richard Marks
Richard Marks was an American film editor known for his work on numerous acclaimed movies, including the culinary drama "Julie & Julia."
-
D.
Michael Gaeta
Michael Gaeta is a film producer best known for his work on genre movies, including the 2011 remake of the horror-comedy "Fright Night."
-
E.
Neil Kopp
Neil Kopp is an American film producer known for his work on acclaimed independent films, including the thriller "Green Room."
- 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_69ab4b7bab6c8190a5c2efef19a8ef34 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdd5072548190946f037c38aabb02 |
completed | March 7, 2026, 8:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b28dc130a48190a4bf2259c206cf88 |
completed | March 12, 2026, 9:56 a.m. |
| NEDg | Description generation | batch_69b28f6d8a948190b9aac1b90de472d6 |
completed | March 12, 2026, 10:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b2c08b196881908e72596d54ab8873 |
completed | March 12, 2026, 1:32 p.m. |
Created at: March 6, 2026, 9:57 p.m.