Triple
T11535114
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yair Netanyahu |
E273525
|
entity |
| Predicate | grandmother |
P3524
|
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: [Yair Netanyahu, grandmother, Tzila Segal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tzila Segal Context triple: [Yair Netanyahu, grandmother, 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.
Elsa Zylberstein
Elsa Zylberstein is a French actress known for her nuanced performances in film and television, often in emotionally complex dramatic roles.
-
C.
Yona Wallach
Yona Wallach was an influential Israeli poet known for her experimental, provocative, and psychologically charged Hebrew poetry that challenged social and sexual norms.
-
D.
Orly Castel-Bloom
Orly Castel-Bloom is an Israeli author known for her innovative, often surrealist fiction that has made her a prominent voice in contemporary Hebrew literature.
-
E.
Miriam Palatnik
Miriam Palatnik is the mother of Brazilian kinetic and optical art pioneer Abraham Palatnik.
- 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_69d6aae3fbec8190a14632a5df2538b6 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8839b4bb48190b748ec4119f36c11 |
completed | April 10, 2026, 4:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f018b2f394819084c3cfd589098c30 |
completed | April 28, 2026, 2:17 a.m. |
Created at: April 8, 2026, 9:37 p.m.