Triple
T5160581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tej Parker |
E116424
|
entity |
| Predicate | worksWith |
P398
|
FINISHED |
| Object | Luke Hobbs |
E197199
|
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: Luke Hobbs | Statement: [Tej Parker, worksWith, Luke Hobbs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luke Hobbs Context triple: [Tej Parker, worksWith, Luke Hobbs]
-
A.
Luke Hobbs
chosen
Luke Hobbs is a hulking, no-nonsense DSS agent and fan-favorite action hero from the Fast & Furious franchise known for his brute strength, loyalty, and deadpan humor.
-
B.
Napoleon Solo
Napoleon Solo is a suave, resourceful American CIA agent who teams up with a KGB counterpart to thwart international threats in the 1960s-set spy adventure "The Man from U.N.C.L.E."
-
C.
Robert Hobbs
Robert Hobbs is an actor known for his role in the film "Longford" and various other screen and stage performances.
-
D.
Hank Mann
Hank Mann was a prolific silent film comedian and character actor, best known as one of the original Keystone Cops and for his numerous supporting roles in early Hollywood comedies.
-
E.
Justin Hammer
Justin Hammer is a wealthy, unscrupulous weapons manufacturer and rival to Tony Stark in the Marvel Cinematic Universe.
- 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_69bd445edb3881909b93b34d260717fc |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd79073a54819080cd1e8de6fe906a |
completed | March 20, 2026, 4:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bed92b3ab48190900cf5c246dba433 |
completed | March 21, 2026, 5:45 p.m. |
Created at: March 20, 2026, 1:44 p.m.