Triple
T1092995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quint |
E24207
|
entity |
| Predicate | appearsIn |
P795
|
FINISHED |
| Object | Jaws |
E3046
|
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: Jaws | Statement: [Quint, appearsIn, Jaws]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jaws Context triple: [Quint, appearsIn, Jaws]
-
A.
Jaws
chosen
Jaws is a 1975 American thriller film directed by Steven Spielberg about a great white shark that terrorizes a New England beach town.
-
B.
Jaws: The Revenge
Jaws: The Revenge is a 1987 horror-thriller film and the fourth installment in the Jaws franchise, widely known for its vengeful shark storyline and poor critical reception.
-
C.
Jaws 2
Jaws 2 is the 1978 sequel to the blockbuster thriller Jaws, continuing the story of a seaside community terrorized by another great white shark.
-
D.
Jaws (novel)
Jaws (novel) is a 1974 thriller by Peter Benchley about a great white shark terrorizing a seaside resort town, which became a bestseller and inspired the famous film adaptation.
-
E.
Jaws franchise
The Jaws franchise is a series of American thriller films and related media centered on deadly great white shark attacks and the human efforts to stop them.
- 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_69a4940542308190ac2a0b1f730b7cfc |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4b99bd06c8190bce1d77b0337b07c |
completed | March 1, 2026, 10:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad307e887c81909f81473a2f02c2ba |
completed | March 8, 2026, 8:17 a.m. |
Created at: March 1, 2026, 7:42 p.m.