Triple
T5132375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ian Hutchinson |
E115730
|
entity |
| Predicate | hasInjuryType |
P23450
|
FINISHED |
| Object | multiple leg fractures |
—
|
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: multiple leg fractures | Statement: [Ian Hutchinson, hasInjuryType, multiple leg fractures]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInjuryType Context triple: [Ian Hutchinson, hasInjuryType, multiple leg fractures]
-
A.
hasInjuries
Indicates that an entity has sustained one or more physical or bodily injuries.
-
B.
injuryType
chosen
Indicates the specific kind or category of injury associated with an entity or event.
-
C.
injuriesApprox
Indicates an approximate or estimated number or extent of injuries associated with an event or entity.
-
D.
injuredIn
Indicates that an entity sustained an injury as a result of a specified event, situation, or action.
-
E.
hasInjuredPerson
Indicates that an entity has a person who has been harmed or injured associated with it.
- 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_69bd444426bc819099ccd23f141e22aa |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7fef2e8c8190982dd67f50295ada |
completed | March 20, 2026, 5:12 p.m. |
| PD | Predicate disambiguation | batch_69bd77ac2fc48190abeebb003a82384c |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:42 p.m.