Triple
T37723504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chanel Nicole Marrow |
E939653
|
entity |
| Predicate | hasPhotographsPublishedIn |
P191935
|
FINISHED |
| Object | tabloid media |
—
|
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: tabloid media | Statement: [Chanel Nicole Marrow, hasPhotographsPublishedIn, tabloid media]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPhotographsPublishedIn Context triple: [Chanel Nicole Marrow, hasPhotographsPublishedIn, tabloid media]
-
A.
hasPhotographs
Indicates that one entity possesses, contains, or is associated with one or more photographs of another entity or subject.
-
B.
hasPhotographedFor
Indicates that one entity has taken photographs on behalf of, or as a service for, another entity.
-
C.
hasPhotographBy
Indicates that an entity is depicted in or associated with a photograph that was created or taken by a specified photographer.
-
D.
hasPublication
Indicates that an entity is associated with or responsible for a specific publication.
-
E.
hasPhotographAt
Indicates that a photograph depicting an entity was taken or exists at a specific location or event.
- 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_69f76edc208c8190bc8b9683f75e1024 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcef654d588190b29ecc76678d1aa0 |
completed | May 7, 2026, 8 p.m. |
| PD | Predicate disambiguation | batch_69fcecdb97f48190b382b7d13be92dc0 |
completed | May 7, 2026, 7:49 p.m. |
| PDg | Predicate description generation | batch_69fcef636dfc819085cf91323f2e4edd |
completed | May 7, 2026, 8 p.m. |
Created at: May 3, 2026, 4:18 p.m.