Triple
T13695427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bert Girigorie |
E328371
|
entity |
| Predicate | hasMediaAttentionReason |
P35413
|
FINISHED |
| Object | former husband of Wendy Williams |
—
|
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: former husband of Wendy Williams | Statement: [Bert Girigorie, hasMediaAttentionReason, former husband of Wendy Williams]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMediaAttentionReason Context triple: [Bert Girigorie, hasMediaAttentionReason, former husband of Wendy Williams]
-
A.
hasNotablePublicityReason
Indicates that an entity is associated with a specific reason or event that has led to notable public attention or publicity.
-
B.
mediaAttentionLevel
Indicates the degree or intensity of attention or coverage that media outlets give to a particular subject or entity.
-
C.
hasMediaCoverageSince
Indicates that an entity has had media coverage starting from a specified point in time and continuing from then onward.
-
D.
hasMediaCoverageTopic
Indicates that a piece of media coverage is about, focused on, or thematically related to a particular topic.
-
E.
mediaCoverageReason
chosen
Indicates the reason or justification for which a particular subject, event, or entity is being covered or reported on by the media.
- 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_69d8076ff62081908a7bd79889edd7a0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc8773f388190b2413b1e05fd5fd7 |
completed | April 12, 2026, 4:29 p.m. |
| PD | Predicate disambiguation | batch_69dbbe9059488190a8113177c83e1481 |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 9:54 p.m.