Triple
T34018187
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Darius McCrary |
E872305
|
entity |
| Predicate | characterInFamilyMatters |
P199841
|
FINISHED |
| Object | Edward "Eddie" Winslow |
—
|
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: Edward "Eddie" Winslow | Statement: [Darius McCrary, characterInFamilyMatters, Edward "Eddie" Winslow]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterInFamilyMatters Context triple: [Darius McCrary, characterInFamilyMatters, Edward "Eddie" Winslow]
-
A.
hasFictionalFamilyMember
Indicates that one entity has another entity as a family member within a fictional or imagined context.
-
B.
hasProtagonistFamilyMember
Indicates that a work’s protagonist has a specified individual as a member of their family.
-
C.
hasMainCastFamilyRelationship
Indicates that there is a family relationship between members of the main cast in a work (e.g., film, series, or play).
-
D.
familyStatusInSeries
Indicates the familial role or relationship an entity holds within the context of a particular series or narrative.
-
E.
portrayedFamilyMemberOf
Indicates that one entity has depicted another entity as a member of their family, typically in a creative or representational context such as art, film, or literature.
- 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_69f349a19ad88190ab586f010c804a8f |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ff5b233e9c8190adc06cca0758986b |
completed | May 9, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69ff5a5682108190a006b23c4fcdcc7c |
completed | May 9, 2026, 4:01 p.m. |
| PDg | Predicate description generation | batch_69ff5b224b8c8190bd0955876098ecc8 |
completed | May 9, 2026, 4:04 p.m. |
Created at: May 1, 2026, 1:51 a.m.