Triple
T18186365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doc Watson |
E435425
|
entity |
| Predicate | wasBlind |
P94380
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Doc Watson, wasBlind, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasBlind Context triple: [Doc Watson, wasBlind, true]
-
A.
blinded
Indicates that one entity causes another to lose the ability to see, either temporarily or permanently.
-
B.
blindedBy
Indicates that one entity causes another to lose the ability to see or perceive clearly, either literally or metaphorically.
-
C.
blindfoldRepresents
Indicates that one entity (typically a blindfold) symbolically stands for or conveys the concept, role, or significance of another entity or idea.
-
D.
hasSenseImpairment
chosen
Indicates that an entity experiences a reduction or loss in one or more sensory abilities (such as sight, hearing, or touch).
-
E.
wasIn
Indicates that an entity existed, occurred, or was located within a particular place or context during a specified time or situation.
- 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_69d8b90c7ec081909b4694ccecb449c6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4dffe9e8081909c6bff40bbd279d2 |
completed | April 19, 2026, 2 p.m. |
| PD | Predicate disambiguation | batch_69e4331e92408190ad607ba4956a3897 |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:31 a.m.