Triple
T8598554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Sarnoff |
E203613
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Lizette Hermant |
E203613
|
NE FINISHED |
How this triple was built (2 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: Lizette Hermant | Statement: [David Sarnoff, spouse, Lizette Hermant]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lizette Hermant Context triple: [David Sarnoff, spouse, Lizette Hermant]
-
A.
Lizette Hermant
chosen
Lizette Hermant was the wife of broadcasting pioneer and RCA leader David Sarnoff.
-
B.
Anne-Marie Lemaresquier
Anne-Marie Lemaresquier was the wife of French statesman and former Prime Minister Michel Debré.
-
C.
Jacqueline Cambas
Jacqueline Cambas is a film editor known for her work on the movie "Now and Then."
-
D.
Denise Baudu
Denise Baudu is the young, determined saleswoman who serves as the central heroine of Émile Zola’s novel "Au Bonheur des Dames," embodying both the struggles and aspirations of women in the rise of the modern department store.
-
E.
Jeanne Rucar
Jeanne Rucar was a French-born gymnast and memoirist best known as the longtime wife and confidante of Spanish filmmaker Luis Buñuel.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca832b56948190ba751cec255308f1 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc46cc8b2081909c6aa45f8656f2ad |
completed | March 31, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cef33f0aa0819091e101f822c53c0f |
completed | April 2, 2026, 10:52 p.m. |
Created at: March 30, 2026, 6:24 p.m.