Triple
T2377663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1945 Pulitzer Prize for Photography |
E46234
|
entity |
| Predicate | mediumOfWorkHonored |
P166
|
FINISHED |
| Object | black-and-white photograph |
—
|
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: black-and-white photograph | Statement: [1945 Pulitzer Prize for Photography, mediumOfWorkHonored, black-and-white photograph]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mediumOfWorkHonored Context triple: [1945 Pulitzer Prize for Photography, mediumOfWorkHonored, black-and-white photograph]
-
A.
honoredThrough
Indicates that one entity is recognized or commemorated by means of another entity, event, or action.
-
B.
recognizesWorkOf
Indicates that one entity acknowledges, identifies, or gives credit to the work or contributions produced by another entity.
-
C.
medium
chosen
Indicates that an entity serves as the means, channel, or intermediary through which an action, communication, or effect is carried out between other entities.
-
D.
honors
Indicates that one entity shows respect, recognition, or esteem toward another entity, often in a formal or ceremonial way.
-
E.
notableWork
Indicates that one entity is a significant or well-known work (such as a book, artwork, or creation) produced by another 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_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. |
Created at: March 4, 2026, 7:57 p.m.