Triple
T1093010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quint |
E24207
|
entity |
| Predicate | vehicle |
P7735
|
FINISHED |
| Object | Orca (boat) |
E115037
|
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: Orca (boat) | Statement: [Quint, vehicle, Orca (boat)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Orca (boat) Context triple: [Quint, vehicle, Orca (boat)]
-
A.
Orca (Quint's boat)
chosen
Orca is the small fishing boat owned by shark hunter Quint in the film "Jaws," used for the perilous hunt for the great white shark.
-
B.
Octopus (yacht)
Octopus is a famous 126-meter luxury megayacht, formerly owned by Microsoft co-founder Paul Allen, known for its extensive exploration capabilities and lavish amenities.
-
C.
Granma yacht
The Granma yacht is the vessel that carried Fidel Castro and his revolutionaries from Mexico to Cuba in 1956, marking the beginning of the Cuban Revolution.
-
D.
Marble Boat
The Marble Boat is an ornate lakeside pavilion in Beijing’s Summer Palace, built to resemble a stone ship and symbolizing the Qing dynasty’s imperial grandeur.
-
E.
MV Arlanza
MV Arlanza was a British ocean liner built by the renowned shipbuilding company Harland and Wolff for passenger and cargo service in the mid-20th century.
- 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_69ac4c2c6b048190b603e9562dde65d0 |
completed | March 7, 2026, 4:02 p.m. |
Created at: March 1, 2026, 7:42 p.m.