Triple
T26543909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brown-Houston family |
E671466
|
entity |
| Predicate | hasChildOfUnion |
P33614
|
FINISHED |
| Object | Bobbi Kristina Brown |
—
|
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: Bobbi Kristina Brown | Statement: [Brown-Houston family, hasChildOfUnion, Bobbi Kristina Brown]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasChildOfUnion Context triple: [Brown-Houston family, hasChildOfUnion, Bobbi Kristina Brown]
-
A.
isChildOf
chosen
Indicates that one entity is the offspring or direct descendant of another entity.
-
B.
hasUnionRepresentation
Indicates that an entity is represented by a labor union in negotiations or employment-related matters.
-
C.
hasConstituentUnion
Indicates that an entity (such as a larger organization or federation) is composed of, or formally includes, a specific trade union as one of its constituent members.
-
D.
hasChildrenWith
Indicates that two entities share one or more biological or adopted children together.
-
E.
hasChildOfHead
Indicates that an entity has, as a subordinate or component, another entity that is the child of its head element or primary governing part.
- 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_69eeb3206e748190b90c85cc81f38c91 |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f6978fe97081908fe568091ad9b159 |
completed | May 3, 2026, 12:32 a.m. |
| PD | Predicate disambiguation | batch_69f69661e6ec8190948251c7516a32ad |
completed | May 3, 2026, 12:27 a.m. |
Created at: April 27, 2026, 1:43 a.m.