Triple
T27987097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portraits of Kiki de Montparnasse |
E706771
|
entity |
| Predicate | creatorPerson |
P151927
|
FINISHED |
| Object | Man Ray |
—
|
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: Man Ray | Statement: [Portraits of Kiki de Montparnasse, creatorPerson, Man Ray]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: creatorPerson Context triple: [Portraits of Kiki de Montparnasse, creatorPerson, Man Ray]
-
A.
creatorGivenName
Indicates the given (first) name of the person or entity that created something.
-
B.
creatorFullName
Indicates the full personal name of the entity that created or authored another entity.
-
C.
creativeContributor
chosen
Indicates a relationship where an entity plays an active role in originating, designing, or shaping the creative content or form of another entity.
-
D.
creatorAlternativeName
Indicates an alternative or variant name used to refer to the creator.
-
E.
creatorType
Indicates the role or category of a creator in relation to the creation of something (e.g., author, artist, director).
- 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_69ef96b8b8d88190bad5e4ae966bf14e |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69f7aa699d68819081ed363931894ab3 |
completed | May 3, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69f7a8cec6d48190bebfa884b2f938c0 |
completed | May 3, 2026, 7:58 p.m. |
Created at: April 27, 2026, 7:48 p.m.