Triple
T20367541
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edward Baldwin |
E496952
|
entity |
| Predicate | createdBy |
P806
|
FINISHED |
| Object | Ben Nedivi |
—
|
NE NERFINISHED |
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: Ben Nedivi | Statement: [Edward Baldwin, createdBy, Ben Nedivi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ben Nedivi Context triple: [Edward Baldwin, createdBy, Ben Nedivi]
-
A.
Ben Nedivi
chosen
Ben Nedivi is a television writer and producer best known for co-creating the alternate-history space drama series "For All Mankind."
-
B.
Nathan Benenson
Nathan Benenson is an individual notable enough to be recognized as a prominent bearer of the Benenson surname.
-
C.
Roni Milo
Roni Milo is an Israeli politician and lawyer who has held several senior government roles, including serving as mayor of Tel Aviv and in multiple ministerial positions.
-
D.
Oren Smadja
Oren Smadja is an Israeli judoka best known for winning a bronze medal in judo at the 1992 Barcelona Olympic Games.
-
E.
Itai Benjamini
Itai Benjamini is an Israeli mathematician known for his influential work in probability theory, particularly in percolation and random walks on graphs.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4a4f9b081908a5a021919c21ccb |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6787291d88190a526fe2461d2a7c6 |
completed | April 20, 2026, 7:03 p.m. |
Created at: April 16, 2026, 11:26 a.m.