Triple
T10740165
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sean Flynn |
E253300
|
entity |
| Predicate | activeAsPhotojournalist |
P12333
|
FINISHED |
| Object | late 1960s |
—
|
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: late 1960s | Statement: [Sean Flynn, activeAsPhotojournalist, late 1960s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: activeAsPhotojournalist Context triple: [Sean Flynn, activeAsPhotojournalist, late 1960s]
-
A.
photographer
chosen
Indicates that one entity takes photographs of another entity, typically in a professional or intentional capacity.
-
B.
usesPhotographyFrom
Indicates that one entity employs or incorporates photographic material originating from another entity.
-
C.
isPhotographicSubject
Indicates that an entity serves as the subject or main focus captured in a photograph taken by another entity.
-
D.
basedOnExperienceAsJournalist
Indicates that something is determined, influenced, or derived from a person's prior work or role as a journalist.
-
E.
journalistsFace
Indicates that journalists encounter or experience a particular challenge, condition, or situation.
- 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_69d6aa5e51e8819095f06881cecf152e |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d71043106c819091939950f532eda5 |
completed | April 9, 2026, 2:34 a.m. |
| PD | Predicate disambiguation | batch_69d6f30df9948190ab3cdc33977fac14 |
completed | April 9, 2026, 12:30 a.m. |
Created at: April 8, 2026, 9:14 p.m.