Triple
T33802884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duncan Thomson |
E866278
|
entity |
| Predicate | fixationOn |
P31
|
FINISHED |
| Object | Tucker Crowe |
—
|
NE NERFINISHED |
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: Tucker Crowe | Statement: [Duncan Thomson, fixationOn, Tucker Crowe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fixationOn Context triple: [Duncan Thomson, fixationOn, Tucker Crowe]
-
A.
fixation
Indicates an intense, often obsessive focus or attachment of one entity toward another entity, object, or idea.
-
B.
fixedBy
Indicates that one entity is repaired, corrected, or resolved through the action or intervention of another entity.
-
C.
typeOfFixing
Indicates the specific method or manner in which one entity is fastened, attached, or secured to another.
-
D.
focusesOn
chosen
Indicates that one entity directs its attention, effort, or primary activity toward another entity or specific subject.
-
E.
binding
Indicates that one entity physically or chemically attaches, adheres, or forms a stable association with another 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_69f3499057fc81909d862b1309a3bd71 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6ffbba58881909398f6ee5f0048a8 |
completed | May 3, 2026, 7:56 a.m. |
| PD | Predicate disambiguation | batch_69f6fc59518081908b0275f47721d561 |
completed | May 3, 2026, 7:42 a.m. |
Created at: May 1, 2026, 1:46 a.m.