Triple
T24070505
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Howard |
E596211
|
entity |
| Predicate | imageBecame |
P117886
|
FINISHED |
| Object | front-page 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: front-page photograph | Statement: [Tom Howard, imageBecame, front-page photograph]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: imageBecame Context triple: [Tom Howard, imageBecame, front-page photograph]
-
A.
imagedIn
Indicates that one entity appears within or is depicted in an image associated with another entity.
-
B.
imageOf
Indicates that one entity is a visual representation or depiction of another entity.
-
C.
imagedBy
Indicates that something is captured, recorded, or represented in an image created by a particular imaging device, method, or agent.
-
D.
principalImageRevealedBy
chosen
Indicates that a principal or primary image becomes visible or is disclosed as a result of a specific action, event, or revealing entity.
-
E.
imageQuality
Indicates the assessed level or degree of visual clarity, detail, and overall fidelity of an image.
- 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_69e288c25c008190850cf447940ab181 |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1db17c99881909f97e858fb183d86 |
completed | April 29, 2026, 10:19 a.m. |
| PD | Predicate disambiguation | batch_69f1764b1d4c8190b12590c6339c31c1 |
completed | April 29, 2026, 3:08 a.m. |
Created at: April 17, 2026, 10:41 p.m.