Triple
T16866615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. William Weir |
E410056
|
entity |
| Predicate | physicalTransformation |
P99916
|
FINISHED |
| Object | self-inflicted eye removal |
—
|
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: self-inflicted eye removal | Statement: [Dr. William Weir, physicalTransformation, self-inflicted eye removal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: physicalTransformation Context triple: [Dr. William Weir, physicalTransformation, self-inflicted eye removal]
-
A.
bodyTransformation
chosen
Indicates a change in an entity’s physical form, structure, or appearance into a different bodily state.
-
B.
physicalTraitAfterTransformation
Indicates that an entity possesses a particular physical trait or characteristic as a result of undergoing some transformation.
-
C.
bodyTransformedInto
Indicates that one entity’s physical form is changed or converted into another specified form or entity.
-
D.
wasTransformedBy
Indicates that an entity has undergone a change of state, form, or condition as the result of an action, process, or agent.
-
E.
protagonistTransformation
Indicates a change or evolution that the main character undergoes, typically altering their traits, beliefs, or role over the course of a narrative.
- 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_69d88395e6c88190b22730f335107c14 |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b5088f208190abfe937633ebe3fe |
completed | April 18, 2026, 4:44 p.m. |
| PD | Predicate disambiguation | batch_69e32b8cbb048190878a259cc5be960e |
completed | April 18, 2026, 6:58 a.m. |
Created at: April 10, 2026, 5:24 a.m.