Triple
T11947345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Citadel |
E284334
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | Scott Nemes |
E872113
|
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: Scott Nemes | Statement: [Citadel, executiveProducer, Scott Nemes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scott Nemes Context triple: [Citadel, executiveProducer, Scott Nemes]
-
A.
Scott Nemes
chosen
Scott Nemes is a film producer best known for his work on the 2011 drama "Hanna."
-
B.
Stephen Nemeth
Stephen Nemeth is an American film producer known for his work on independent and cult films, including the adaptation of Hunter S. Thompson’s "Fear and Loathing in Las Vegas."
-
C.
Bill Neukom
Bill Neukom is an American lawyer and philanthropist best known as Microsoft’s former chief legal officer and a former managing general partner of the San Francisco Giants.
-
D.
Nick Fazekas
Nick Fazekas is an American former professional basketball player best known as a dominant scoring and rebounding forward at the University of Nevada before playing in the NBA and overseas.
-
E.
Michael Nolin
Michael Nolin is an American film producer best known for his work on the acclaimed music drama "Mr. Holland's Opus."
- 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_69d6ab2db38c8190b1f0ed6663ef8ada |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903456ec0819082b8b10755a6b732 |
completed | April 10, 2026, 2:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f458e003a0819082d052fd0bb88d8b |
completed | May 1, 2026, 7:40 a.m. |
Created at: April 8, 2026, 9:45 p.m.