Triple
T5878405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carl Djerassi |
E130681
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Norma Djerassi
Norma Djerassi was the wife of chemist and "father of the pill" Carl Djerassi.
|
E553343
|
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: Norma Djerassi | Statement: [Carl Djerassi, spouse, Norma Djerassi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Norma Djerassi Context triple: [Carl Djerassi, spouse, Norma Djerassi]
-
A.
Kathryn Reed Altman
Kathryn Reed Altman was an American actress, documentarian, and archivist best known for preserving and promoting the legacy and work of her husband, filmmaker Robert Altman.
-
B.
Ruth Weinstein
Ruth Weinstein is one of the children of disgraced American film producer Harvey Weinstein.
-
C.
Brenda Chenowith
Brenda Chenowith is a complex, intellectually gifted but emotionally troubled woman who becomes deeply entwined with the Fisher family in the HBO drama series "Six Feet Under."
-
D.
Lila Vogel
Lila Vogel is the mother of journalist Lloyd Vogel, a character in the film "A Beautiful Day in the Neighborhood."
-
E.
Marianne Ehrlich
Marianne Ehrlich was the daughter of Nobel Prize–winning German physician and immunologist Paul Ehrlich.
- 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: Norma Djerassi Triple: [Carl Djerassi, spouse, Norma Djerassi]
Generated description
Norma Djerassi was the wife of chemist and "father of the pill" Carl Djerassi.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Norma Djerassi Target entity description: Norma Djerassi was the wife of chemist and "father of the pill" Carl Djerassi.
-
A.
Kathryn Reed Altman
Kathryn Reed Altman was an American actress, documentarian, and archivist best known for preserving and promoting the legacy and work of her husband, filmmaker Robert Altman.
-
B.
Ruth Weinstein
Ruth Weinstein is one of the children of disgraced American film producer Harvey Weinstein.
-
C.
Brenda Chenowith
Brenda Chenowith is a complex, intellectually gifted but emotionally troubled woman who becomes deeply entwined with the Fisher family in the HBO drama series "Six Feet Under."
-
D.
Lila Vogel
Lila Vogel is the mother of journalist Lloyd Vogel, a character in the film "A Beautiful Day in the Neighborhood."
-
E.
Marianne Ehrlich
Marianne Ehrlich was the daughter of Nobel Prize–winning German physician and immunologist Paul Ehrlich.
- 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_69c0085523688190bfd487479ce819e6 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c036327efc8190858e9364cd5d317b |
completed | March 22, 2026, 6:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0b12861c081909f95f1ef6a1f457c |
completed | March 23, 2026, 3:19 a.m. |
| NEDg | Description generation | batch_69c0b299fe78819089a2ca8a1ae44329 |
completed | March 23, 2026, 3:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0b2ea7e60819099417b5acb21f8d0 |
completed | March 23, 2026, 3:26 a.m. |
Created at: March 22, 2026, 3:57 p.m.