Triple
T5672192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pol Espargaró |
E125003
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Espargaró |
E125003
|
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: Espargaró | Statement: [Pol Espargaró, familyName, Espargaró]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Espargaró Context triple: [Pol Espargaró, familyName, Espargaró]
-
A.
Pol Espargaró
chosen
Pol Espargaró is a Spanish Grand Prix motorcycle road racer known for competing in the MotoGP World Championship with multiple factory and satellite teams.
-
B.
Alex Marquez
Alex Marquez is a film editor known for his work on projects such as the 2016 biographical thriller "Snowden."
-
C.
Carlos Nieto
Carlos Nieto is a fictional New York City paramedic featured as one of the central characters in the television drama series "Third Watch."
-
D.
Jorge Lorenzo
Jorge Lorenzo is a Spanish Grand Prix motorcycle road racer and multiple-time MotoGP World Champion known for his smooth, precise riding style.
-
E.
Joe Pichirallo
Joe Pichirallo is a film and television producer known for his work on projects such as the adaptation of "The Secret Life of Bees."
- 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_69c008295c808190acfe78915e7d656a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0236e8dc48190b4eb7709a258909f |
completed | March 22, 2026, 5:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04db5c9a08190b1d6b7db87d0d9ac |
completed | March 22, 2026, 8:14 p.m. |
Created at: March 22, 2026, 3:43 p.m.