Triple
T7653495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mordecai Brown |
E173317
|
entity |
| Predicate | handInjury |
P71097
|
FINISHED |
| Object | lost parts of two fingers on his right hand in a childhood accident |
—
|
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: lost parts of two fingers on his right hand in a childhood accident | Statement: [Mordecai Brown, handInjury, lost parts of two fingers on his right hand in a childhood accident]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: handInjury Context triple: [Mordecai Brown, handInjury, lost parts of two fingers on his right hand in a childhood accident]
-
A.
injuredBodyPart
chosen
Indicates that an entity has sustained an injury specifically affecting a particular body part.
-
B.
handCondition
Indicates the state or quality of a hand, such as its health, functionality, or any specific condition affecting it.
-
C.
handednessAfterInjury
Indicates the dominant hand or handedness a person exhibits following an injury, especially in contrast to their prior handedness.
-
D.
injuryType
Indicates the specific kind or category of injury associated with an entity or event.
-
E.
injuriesApprox
Indicates an approximate or estimated number or extent of injuries associated with an event or 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_69c6995473348190a4f41d110d619a18 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7061cbc3c8190a917dd7e71214182 |
completed | March 27, 2026, 10:35 p.m. |
| PD | Predicate disambiguation | batch_69c7015dd8fc8190bc5f52a12bd46209 |
completed | March 27, 2026, 10:14 p.m. |
Created at: March 27, 2026, 3:59 p.m.