Triple
T26544133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Landon Brown |
E671477
|
entity |
| Predicate | madePublicAppearanceFor |
P28308
|
FINISHED |
| Object | The Bobby Brown Story |
—
|
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: The Bobby Brown Story | Statement: [Landon Brown, madePublicAppearanceFor, The Bobby Brown Story]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: madePublicAppearanceFor Context triple: [Landon Brown, madePublicAppearanceFor, The Bobby Brown Story]
-
A.
laterPublicAppearances
Indicates that one entity’s public appearances occurred after those of another entity in time.
-
B.
unveiledInPresenceOf
Indicates that something was formally revealed or made public while specific other entities were present.
-
C.
hasPublicFigure
Indicates that an entity is associated with or characterized by a specific public figure, such as a celebrity, politician, or other widely recognized individual.
-
D.
appearedWith
chosen
Indicates that two entities were present or participated together in the same context, event, or medium.
-
E.
becamePublic
Indicates that an entity transitioned from private or restricted status to being publicly accessible or publicly traded.
- 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_69f614345af081908fe66518402d513d |
completed | May 2, 2026, 3:11 p.m. |
| PD | Predicate disambiguation | batch_69f602d7b1b0819095ddd3b5169f8ce2 |
completed | May 2, 2026, 1:57 p.m. |
Created at: April 27, 2026, 1:43 a.m.