Triple
T13905630
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hat Works |
E334341
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Hat Works |
E334341
|
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: Hat Works | Statement: [Hat Works, name, Hat Works]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hat Works Context triple: [Hat Works, name, Hat Works]
-
A.
Hat Works
chosen
Hat Works is a museum in Stockport, England, dedicated to the history and heritage of the hat-making industry.
-
B.
The New York Hat
The New York Hat is a 1912 silent short film directed by D.W. Griffith and starring Mary Pickford, often noted as an early landmark of American narrative cinema.
-
C.
Hat Head
Hat Head is a small coastal village and national park area in New South Wales, Australia, known for its beaches, headland, and natural bushland.
-
D.
Hatsekats
Hatsekats is a village in Armenia known historically as the birthplace of the Armenian alphabet creator Mesrop Mashtots.
-
E.
The Hoose-Gow
The Hoose-Gow is a 1929 Laurel and Hardy short comedy film known for its prison-escape antics and slapstick humor.
- 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_69d81c5eaa9c819083b1ff8689179565 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de25dc26cc8190a7909980b1d34933 |
completed | April 14, 2026, 11:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c724c6188190ae0c2784c3b48a12 |
completed | May 3, 2026, 10:07 p.m. |
Created at: April 9, 2026, 10:16 p.m.