Triple
T9681862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ashley Hurdle |
E234300
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Hurdle |
E144017
|
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: Hurdle | Statement: [Ashley Hurdle, familyName, Hurdle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hurdle Context triple: [Ashley Hurdle, familyName, Hurdle]
-
A.
Hurdle
chosen
Hurdle is a surname most notably associated with Clint Hurdle, a former Major League Baseball player and manager.
-
B.
Steeplechase
Steeplechase is a unique multi-track steel roller coaster at Blackpool Pleasure Beach in England, themed around horse racing and known for its side-by-side racing layout.
-
C.
Buck Jump
Buck Jump is a jazz and funk-infused brass band album by The Dirty Dozen Brass Band that showcases their innovative New Orleans sound.
-
D.
Athleap
Athleap is the fictional sports marketing company that Jim Halpert co-founds and eventually joins full-time in the TV series "The Office."
-
E.
Peralada
Peralada is a historic town in Catalonia, Spain, renowned for its medieval castle, wine production, and annual music festival.
- 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_69ca84c99e34819092e5563a7106cfca |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9c9fec1c8190b2626848cb2c1871 |
completed | April 1, 2026, 10:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d18a3d77c48190b7fcde4708ca3811 |
completed | April 4, 2026, 10:01 p.m. |
Created at: March 30, 2026, 8:16 p.m.