Triple
T3541717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Benzion Netanyahu |
E74899
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Tzila Segal |
E270709
|
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: Tzila Segal | Statement: [Benzion Netanyahu, spouse, Tzila Segal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tzila Segal Context triple: [Benzion Netanyahu, spouse, Tzila Segal]
-
A.
Tzila Segal
chosen
Tzila Segal was the mother of Israeli Prime Minister Benjamin Netanyahu and part of a prominent Zionist family.
-
B.
Vida Goldstein
Vida Goldstein was an Australian suffragist, social reformer, and pacifist leader who was one of the first women in the British Empire to stand for national parliament.
-
C.
Claudia Finkelstein
Claudia Finkelstein is a physician and academic known for her work in internal medicine and physician well-being.
-
D.
Ayelet Zurer
Ayelet Zurer is an Israeli actress known internationally for her roles in films such as "Angels & Demons," "Munich," and "Man of Steel."
-
E.
Basya Cohen
Basya Cohen, better known as Betty Comden, was an American lyricist, screenwriter, and performer famed for her influential work on classic Broadway musicals and Hollywood films.
- 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_69ad85d274cc8190ab59c97298a1cfbf |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbf73c5e881909a8352512928377b |
completed | March 8, 2026, 6:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3bb8b7fac81908c18d3f868aeba44 |
completed | March 13, 2026, 7:23 a.m. |
Created at: March 8, 2026, 3:20 p.m.