Triple
T22764375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fred O'Hare |
E563081
|
entity |
| Predicate | createdFor |
P7551
|
FINISHED |
| Object | Hop |
—
|
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: Hop | Statement: [Fred O'Hare, createdFor, Hop]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hop Context triple: [Fred O'Hare, createdFor, Hop]
-
A.
Hop
Hop is a regional contactless transit fare system used for paying fares across multiple public transportation agencies in the Portland–Vancouver metropolitan area.
-
B.
Hop
Hop is the commonly used nickname for the Hopkins Center for the Arts at Dartmouth College, a major hub for performing and visual arts on campus.
-
C.
Hop
chosen
Hop is a 2011 live-action/animated family comedy film about the Easter Bunny’s teenage son who dreams of becoming a drummer instead of taking over the family business.
-
D.
Hop
Hop is a major character and your enthusiastic rival in the Pokémon Sword and Shield games set in the Galar region.
-
E.
Hap
Hap is the nickname of Henry "Hap" Arnold, a pioneering U.S. Army Air Forces general and key architect of American air power during World War II.
- 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_69e24552e11c81909c2d61578a558bd7 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17a7f56848190b5e90f9916a5b349 |
completed | April 29, 2026, 3:26 a.m. |
Created at: April 17, 2026, 3:26 p.m.