Triple
T30842546
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Capa Gold Medal |
E785550
|
entity |
| Predicate | hasMottoOrEmphasis |
P25715
|
FINISHED |
| Object | courage and enterprise in photographic reporting |
—
|
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: courage and enterprise in photographic reporting | Statement: [Robert Capa Gold Medal, hasMottoOrEmphasis, courage and enterprise in photographic reporting]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMottoOrEmphasis Context triple: [Robert Capa Gold Medal, hasMottoOrEmphasis, courage and enterprise in photographic reporting]
-
A.
hasMottoElement
Indicates that something includes a specific phrase or component as part of its motto.
-
B.
hasMottoSymbol
Indicates that an entity’s motto is represented or accompanied by a particular symbol.
-
C.
hasMottoLikeFunction
Indicates that something serves a role or function similar to a motto, typically expressing a guiding principle, slogan, or core message.
-
D.
mottoEmphasizes
chosen
Indicates that a motto highlights, stresses, or gives special importance to a particular idea, value, or theme.
-
E.
mottoIncluded
Indicates that a motto is present as part of, or associated with, the referenced entity.
- 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_69f224b850848190a4af4ccf8ddadcdf |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fd68abf52881909c5a390c362b7c59 |
completed | May 8, 2026, 4:38 a.m. |
| PD | Predicate disambiguation | batch_69fd6812d0c88190930d8fa2d4b92490 |
completed | May 8, 2026, 4:35 a.m. |
Created at: April 29, 2026, 8:45 p.m.