Triple
T26957183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mordecai Brown |
E678938
|
entity |
| Predicate | deformedFingersCount |
P145152
|
FINISHED |
| Object | two fingers severely damaged |
—
|
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: two fingers severely damaged | Statement: [Mordecai Brown, deformedFingersCount, two fingers severely damaged]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: deformedFingersCount Context triple: [Mordecai Brown, deformedFingersCount, two fingers severely damaged]
-
A.
hasNumberOfHands
Indicates the specific count of hands that an entity possesses.
-
B.
digitNumberOnForelimb
chosen
Indicates that an entity has a specified number of digits present on its forelimb.
-
C.
limbCount
Indicates the number of limbs an entity possesses.
-
D.
handCondition
Indicates the state or quality of a hand, such as its health, functionality, or any specific condition affecting it.
-
E.
hasFingeringSystem
Indicates that an instrument or object is associated with a particular method or system for positioning fingers to produce notes or actions.
- 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_69eeeb4e75f08190b14fc91ca4a91488 |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f620e8cf6c8190b9ee7b08d42989dd |
completed | May 2, 2026, 4:06 p.m. |
| PD | Predicate disambiguation | batch_69f611af72ac819094598dd2530d7411 |
completed | May 2, 2026, 3:01 p.m. |
Created at: April 27, 2026, 6:28 a.m.