Triple
T5133303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jaws franchise |
E115754
|
entity |
| Predicate | notableCharacter |
P1481
|
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: [Jaws franchise, notableCharacter, Quint]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Quint Context triple: [Jaws franchise, notableCharacter, 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.
Quintin
Quintin is a masculine given name of Latin origin, derived from "Quintinus" and traditionally associated with the meaning "fifth."
-
C.
Kwinti
Kwinti are a Maroon Afro-Surinamese community in Suriname, known for their distinct culture, history of resistance to slavery, and unique linguistic and religious traditions.
-
D.
Robby
Robby is a common diminutive given name, typically used as a familiar or affectionate form of the name Robert.
-
E.
Tio
Tio is a coastal town in Eritrea’s Southern Red Sea Region, known historically as a small port on the Red Sea.
- 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_69bd444426bc819099ccd23f141e22aa |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd784ca5ac81909f1ec7544f5bbd26 |
completed | March 20, 2026, 4:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bec4c9a14881908a8bf2f73ebf56f7 |
completed | March 21, 2026, 4:18 p.m. |
Created at: March 20, 2026, 1:42 p.m.