Triple
T33656830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Camille Henry |
E862245
|
entity |
| Predicate | shootingAccuracy |
P17665
|
FINISHED |
| Object | high |
—
|
LITERAL 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: high | Statement: [Camille Henry, shootingAccuracy, high]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shootingAccuracy Context triple: [Camille Henry, shootingAccuracy, high]
-
A.
accuracyShootingWinner
Indicates that the subject is the winner in a shooting accuracy contest or comparison.
-
B.
shootingRange
Indicates that one entity serves as a location or facility where another entity engages in shooting activities, typically for practice or training.
-
C.
shootingStyle
chosen
Indicates the characteristic manner or technique with which an entity performs a shooting action (e.g., in sports or photography).
-
D.
shootingDiscipline
Indicates the specific type or category of shooting activity or event in which an entity participates or is involved.
-
E.
shooter
Indicates that one entity performs a shooting action directed at another entity.
- F. None of above.
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_69f349840ba881908e3bfce536aeb92b |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6fb19063c81909466b329655c8583 |
completed | May 3, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69f6f96badb08190994442c2aba840b1 |
completed | May 3, 2026, 7:29 a.m. |
Created at: May 1, 2026, 1:42 a.m.