Triple
T15715660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lethal Weapon 4 |
E380951
|
entity |
| Predicate | filmEditingBy |
P14416
|
FINISHED |
| Object | Kevin Stitt |
E224770
|
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: Kevin Stitt | Statement: [Lethal Weapon 4, filmEditingBy, Kevin Stitt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kevin Stitt Context triple: [Lethal Weapon 4, filmEditingBy, Kevin Stitt]
-
A.
Kevin Stitt
chosen
Kevin Stitt is a film editor best known for his work on major Hollywood productions, including the blockbuster Jurassic World.
-
B.
Kevin Stitt
Kevin Stitt is an American businessman and Republican politician serving as the governor of Oklahoma.
-
C.
Markwayne Mullin
Markwayne Mullin is a Republican politician and former U.S. Representative from Oklahoma who now serves as a U.S. Senator for the state.
-
D.
Mark Brnovich
Mark Brnovich is an American attorney and Republican politician who served as the Attorney General of Arizona.
-
E.
Mark Hawley
Mark Hawley is a British sound engineer and record producer best known for his long-term collaboration with and marriage to musician Tori Amos.
- 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_69d86d9bf930819082b30cf6d169297c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04f91beb08190bd91bf9306737c3b |
completed | April 16, 2026, 2:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff7581302c8190918266f04bcf2231 |
completed | May 9, 2026, 5:57 p.m. |
Created at: April 10, 2026, 4:45 a.m.