Triple
T18690340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harry Hinkle |
E456978
|
entity |
| Predicate | hasLastName |
P18
|
FINISHED |
| Object | Hinkle |
—
|
NE NERFINISHED |
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: Hinkle | Statement: [Harry Hinkle, hasLastName, Hinkle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hinkle Context triple: [Harry Hinkle, hasLastName, Hinkle]
-
A.
Hinkle
chosen
Hinkle is a surname most notably associated with American actress Marin Hinkle, known for her roles in television and film.
-
B.
Hines
Hines is a global real estate investment, development, and management firm known for its portfolio of prominent commercial properties.
-
C.
Hines
Hines is a surname most famously associated with Earl Hines, the influential American jazz pianist and bandleader.
-
D.
Hanley
Hanley is the surname of American rapper Schoolboy Q, known for his work with the hip-hop collective Black Hippy and albums like "Oxymoron" and "Blank Face LP."
-
E.
Hanley
Hanley is one of the main towns that make up the city of Stoke-on-Trent in Staffordshire, England, known historically for its role in the pottery industry.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d391eb488190ac2e9abf5bf255e4 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e562e28e5c8190b0033c1667d50e05 |
completed | April 19, 2026, 11:18 p.m. |
Created at: April 10, 2026, 11:49 a.m.