Triple
T971069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matt Hooper |
E20945
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Quint |
E24207
|
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: Quint | Statement: [Matt Hooper, associatedWith, Quint]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Quint Context triple: [Matt Hooper, associatedWith, Quint]
-
A.
Quint
chosen
Quint is the grizzled, obsessive shark hunter in the film "Jaws," known for his monologue about the USS Indianapolis and his fatal showdown with the great white shark.
-
B.
Zeb
Zeb is a central character in Margaret Atwood's dystopian novel "MaddAddam," known for his complex past and role in the post-apocalyptic narrative.
-
C.
Quinn
Quinn is a surname of Irish origin commonly borne by individuals such as American football coach Dan Quinn.
-
D.
Tobias
Tobias was a Native American man from the 17th-century Wampanoag community, known primarily through his familial connection to the Sakonnet leader Awashonks.
-
E.
Griffin
Griffin is the fictional surname of the central family in the animated television series "Family Guy," most notably borne by the character Peter Griffin.
- 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_69a493b33d2c81909c52c369d3ca8436 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b44aa6088190a90c44a8f694ec41 |
completed | March 1, 2026, 9:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac1cd9705c8190adf1fb72188cc84e |
completed | March 7, 2026, 12:40 p.m. |
Created at: March 1, 2026, 7:40 p.m.