Triple
T34613501
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ambiguity of photographic evidence |
E888800
|
entity |
| Predicate | concernsMedium |
P183151
|
FINISHED |
| Object | 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: photography | Statement: [ambiguity of photographic evidence, concernsMedium, photography]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: concernsMedium Context triple: [ambiguity of photographic evidence, concernsMedium, photography]
-
A.
concernsProblem
Indicates that something is about, related to, or deals with a particular problem or issue.
-
B.
concernsText
Indicates that something is about or relates specifically to a given piece of text.
-
C.
concernsMeasure
Indicates that something is about or relates specifically to a particular quantitative measure or measurement.
-
D.
concernsStandard
Indicates that something is related or pertains to a particular standard, rule, or established norm.
-
E.
concernsAddressed
Indicates that specific issues, worries, or topics raised by one party have been acknowledged and dealt with by another party.
- 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_69f349d584e08190b40b9f6281ad50c4 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f798387ea481909f51303f53a22e52 |
completed | May 3, 2026, 6:47 p.m. |
| PD | Predicate disambiguation | batch_69f7961550f88190b7bb8a9155458b54 |
completed | May 3, 2026, 6:38 p.m. |
| PDg | Predicate description generation | batch_69f79798663481908d6bc48dd6a94ca6 |
completed | May 3, 2026, 6:44 p.m. |
Created at: May 1, 2026, 2:03 a.m.