Triple
T2377664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1945 Pulitzer Prize for Photography |
E46234
|
entity |
| Predicate | genreOfWorkHonored |
P38820
|
FINISHED |
| Object | war photography |
—
|
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: war photography | Statement: [1945 Pulitzer Prize for Photography, genreOfWorkHonored, war photography]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: genreOfWorkHonored Context triple: [1945 Pulitzer Prize for Photography, genreOfWorkHonored, war photography]
-
A.
notableWorkGenre
Indicates that a particular work is recognized as notable for an entity and specifies the genre to which that work belongs.
-
B.
namedForNotableWork
Indicates that one entity is named in honor of another entity’s notable work or achievement.
-
C.
recognizesWorkOf
Indicates that one entity acknowledges, identifies, or gives credit to the work or contributions produced by another entity.
-
D.
worksCollectedBy
Indicates that one entity gathers, compiles, or curates the works (such as creations, publications, or outputs) produced by another entity.
-
E.
notableTypeOfWork
Indicates that a work is a significant or defining example within a particular type or category of work associated with an entity.
- 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_69a88a1554a48190a0180682bcf099be |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abca4d89248190be7d712d5fa8382b |
completed | March 7, 2026, 6:48 a.m. |
| PD | Predicate disambiguation | batch_69abc59d82f08190b7c36982d1ae783d |
completed | March 7, 2026, 6:28 a.m. |
| PDg | Predicate description generation | batch_69abca4c937c8190b4dfca716b868d4f |
completed | March 7, 2026, 6:48 a.m. |
Created at: March 4, 2026, 7:57 p.m.