Triple
T4867631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cohen |
E109009
|
entity |
| Predicate | scriptVariant |
P4680
|
FINISHED |
| Object | Kahane |
E412932
|
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: Kahane | Statement: [Cohen, scriptVariant, Kahane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kahane Context triple: [Cohen, scriptVariant, Kahane]
-
A.
Nathan Kahane
Nathan Kahane is a film producer and studio executive known for backing numerous successful Hollywood comedies and genre films.
-
B.
Ehud Shabtai
Ehud Shabtai is an Israeli software engineer and entrepreneur best known as the co-founder and chief architect of the GPS-based navigation app Waze.
-
C.
Israel Beilin
Israel Beilin, better known as Irving Berlin, was a Russian-born American composer and lyricist who became one of the most prolific and influential songwriters in the history of popular music.
-
D.
Mordechai Namir
Mordechai Namir was an Israeli politician, trade union leader, and longtime mayor of Tel Aviv who played a prominent role in the country’s early labor movement and governance.
-
E.
Jean-Pierre Kahane
chosen
Jean-Pierre Kahane was a French mathematician known for his influential work in harmonic analysis, probability theory, and the geometry of Banach spaces.
- 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_69bd440d96a48190b0c87069adef2af1 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6d7bb0b88190bbc24498619910fc |
completed | March 20, 2026, 3:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be67e5d96c8190b2a509d9fb81211a |
completed | March 21, 2026, 9:41 a.m. |
Created at: March 20, 2026, 1:26 p.m.