Triple
T3342074
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ally McBeal |
E70280
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Elaine Vassal
Elaine Vassal is a flamboyant, gossip-loving secretary known for her quirky inventions and sharp wit on the television series "Ally McBeal."
|
E551379
|
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: Elaine Vassal | Statement: [Ally McBeal, character, Elaine Vassal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elaine Vassal Context triple: [Ally McBeal, character, Elaine Vassal]
-
A.
Elaine Orr
Elaine Orr was the first wife of American poet E. E. Cummings, known primarily for her connection to his personal life and early career.
-
B.
Ellen Pierson
Ellen Pierson is a real estate professional best known for her brief marriage to the late attorney Robert Kardashian, father of the Kardashian family.
-
C.
Beverly Van Zile
Beverly Van Zile is best known as the second wife of Apollo 11 astronaut Buzz Aldrin.
-
D.
Carole Eastman
Carole Eastman was an American screenwriter best known for her incisive character-driven work in 1970s New Hollywood cinema, including the film "Five Easy Pieces."
-
E.
Vicki Sirotta
Vicki Sirotta is a film producer best known for her work on the horror-thriller movie "The Prophecy."
- 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: Elaine Vassal Triple: [Ally McBeal, character, Elaine Vassal]
Generated description
Elaine Vassal is a flamboyant, gossip-loving secretary known for her quirky inventions and sharp wit on the television series "Ally McBeal."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Elaine Vassal Target entity description: Elaine Vassal is a flamboyant, gossip-loving secretary known for her quirky inventions and sharp wit on the television series "Ally McBeal."
-
A.
Elaine Orr
Elaine Orr was the first wife of American poet E. E. Cummings, known primarily for her connection to his personal life and early career.
-
B.
Ellen Pierson
Ellen Pierson is a real estate professional best known for her brief marriage to the late attorney Robert Kardashian, father of the Kardashian family.
-
C.
Beverly Van Zile
Beverly Van Zile is best known as the second wife of Apollo 11 astronaut Buzz Aldrin.
-
D.
Carole Eastman
Carole Eastman was an American screenwriter best known for her incisive character-driven work in 1970s New Hollywood cinema, including the film "Five Easy Pieces."
-
E.
Vicki Sirotta
Vicki Sirotta is a film producer best known for her work on the horror-thriller movie "The Prophecy."
- 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_69ad85a405e48190b6e68de7cf9f319e |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb1ee711481909c0d921f1b5b8562 |
completed | March 8, 2026, 5:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0a127b0e48190880ee84f45bed359 |
completed | March 23, 2026, 2:10 a.m. |
| NEDg | Description generation | batch_69c0a1faf7d48190ad2d5f43ef37da82 |
completed | March 23, 2026, 2:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0a2e17cd88190a54f5166fe5c654a |
completed | March 23, 2026, 2:18 a.m. |
Created at: March 8, 2026, 3:12 p.m.