Triple
T4611004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tulco LLC |
E100555
|
entity |
| Predicate | founder |
P104
|
FINISHED |
| Object | Thomas Tull |
E18130
|
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: Thomas Tull | Statement: [Tulco LLC, founder, Thomas Tull]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thomas Tull Context triple: [Tulco LLC, founder, Thomas Tull]
-
A.
Thomas Tull
chosen
Thomas Tull is an American billionaire film producer and entrepreneur, best known as the founder of Legendary Entertainment, the studio behind major blockbuster franchises.
-
B.
Thomas Grazer
Thomas Grazer is the son of acclaimed American film and television producer Brian Grazer.
-
C.
Michael G. Wilson
Michael G. Wilson is an American film producer best known for co-producing numerous James Bond films and helping oversee the long-running franchise.
-
D.
Bob Iger
Bob Iger is an American media executive best known for leading The Walt Disney Company as its longtime CEO and overseeing major acquisitions that expanded Disney’s global entertainment empire.
-
E.
David Katzenberg
David Katzenberg is an American television and film producer and director known for co-creating the MTV series "The Hard Times of RJ Berger" and producing various comedy and horror projects.
- 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_69bd43cce1e08190a07d53af6a9b6c24 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd59bffbf08190b13ef0810e6f9d19 |
completed | March 20, 2026, 2:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be4d6d97fc819095d585ade9de201d |
completed | March 21, 2026, 7:49 a.m. |
Created at: March 20, 2026, 1:12 p.m.