Triple
T29355222
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kathy Beth Terry |
E744421
|
entity |
| Predicate | hasBraces |
P176008
|
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: [Kathy Beth Terry, hasBraces, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBraces Context triple: [Kathy Beth Terry, hasBraces, true]
-
A.
hasBracket
Indicates that one entity possesses, includes, or is associated with a bracket component or structure.
-
B.
hasBracing
Indicates that one entity is structurally supported, reinforced, or stabilized by another entity acting as bracing.
-
C.
usesBracket
Indicates that one entity employs or incorporates a bracket as a structural or functional component in relation to another entity.
-
D.
hasBracts
Indicates that an entity possesses bracts, meaning it has specialized leaf-like structures associated with its flowers or inflorescences.
-
E.
numberOfBrackets
Indicates the count of brackets associated with or contained in a given entity or structure.
- F. None of above. chosen
Provenance (4 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_69f0a79aee588190b490f19d93c6e52d |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f6db3606808190a80c6e9f5da5b33e |
completed | May 3, 2026, 5:20 a.m. |
| PD | Predicate disambiguation | batch_69f6d82adfa481908a5e196d2e18c73f |
completed | May 3, 2026, 5:07 a.m. |
| PDg | Predicate description generation | batch_69f6db1bc348819097c844f76e2fa4fe |
completed | May 3, 2026, 5:20 a.m. |
Created at: April 28, 2026, 2:11 p.m.