Triple
T27639662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Photography |
E696553
|
entity |
| Predicate | historicallyUsedMedium |
P44343
|
FINISHED |
| Object | Daguerreotype |
—
|
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: Daguerreotype | Statement: [Photography, historicallyUsedMedium, Daguerreotype]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicallyUsedMedium Context triple: [Photography, historicallyUsedMedium, Daguerreotype]
-
A.
usedMedium
Indicates that an action or communication was carried out through a particular medium or channel.
-
B.
historicallyUsedFor
Indicates that something served a particular function or purpose at some point in the past, even if it may no longer be used that way now.
-
C.
historicalMedium
chosen
Indicates that an entity was conveyed, recorded, or expressed through a particular medium or format in its original historical context.
-
D.
writingMediumHistorical
Indicates that an entity historically used a particular medium or material as the means or surface for writing.
-
E.
canonicalMedium
Indicates the primary or standard medium through which something is most authoritatively or typically expressed, distributed, or experienced.
- 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_69ef5909f3848190805f35b76833e722 |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69fd68abf52881909c5a390c362b7c59 |
completed | May 8, 2026, 4:38 a.m. |
| PD | Predicate disambiguation | batch_69fd6812d0c88190930d8fa2d4b92490 |
completed | May 8, 2026, 4:35 a.m. |
Created at: April 27, 2026, 2:25 p.m.