Triple
T24521430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Winchester |
E606538
|
entity |
| Predicate | canonicalFamilyName |
P98396
|
FINISHED |
| Object | Winchester |
—
|
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: Winchester | Statement: [John Winchester, canonicalFamilyName, Winchester]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canonicalFamilyName Context triple: [John Winchester, canonicalFamilyName, Winchester]
-
A.
textualFamily
Indicates that two or more texts are related through a shared origin, tradition, or lineage, forming a recognizable textual group or family.
-
B.
featuresFamilyName
chosen
Indicates that an entity is associated with or displays a particular family name.
-
C.
styleFamily
Indicates that one style is grouped within the same stylistic family or category as another style.
-
D.
namedForFamily
Indicates that one entity is named in honor of, or derived from the name of, a particular family or family group.
-
E.
hasFamilyNameOf
Indicates that one entity bears or uses the same family name (surname) as 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_69e2c4c85778819085f5da9af3569ad5 |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6b0ca8081908d931aec560eae56 |
completed | April 30, 2026, 12:47 a.m. |
Created at: April 18, 2026, 2:24 a.m.