Triple
T2499992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Katie Lucas |
E52440
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | Lucasfilm |
E32166
|
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: Lucasfilm | Statement: [Katie Lucas, employer, Lucasfilm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lucasfilm Context triple: [Katie Lucas, employer, Lucasfilm]
-
A.
Lucasfilm
chosen
Lucasfilm is a renowned American film and television production company best known for creating the Star Wars and Indiana Jones franchises.
-
B.
Eon Productions
Eon Productions is a British film production company best known for producing the long-running James Bond movie franchise.
-
C.
Fantasy Studios
Fantasy Studios was a renowned recording facility in Berkeley, California, known for hosting sessions by prominent rock, jazz, and film soundtrack artists.
-
D.
Walt Disney Studios
Walt Disney Studios is a major American film studio and entertainment company division of The Walt Disney Company, known for producing and distributing animated and live-action films worldwide.
-
E.
Annapurna Studios
Annapurna Studios is a prominent Indian film production and post-production company based in Hyderabad, widely recognized for its role in shaping Telugu cinema.
- 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_69ab4957b3a88190adf968ae0c1b931c |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd1afd86c81909181c4b45d4f8bc5 |
completed | March 7, 2026, 7:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af2b8bc7708190a507136d1f9f34ca |
completed | March 9, 2026, 8:20 p.m. |
Created at: March 6, 2026, 9:46 p.m.