Triple
T37947336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Martin Bell |
E946641
|
entity |
| Predicate | frequentlyCollaboratedInMedium |
P189656
|
FINISHED |
| Object | documentary 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: documentary photography | Statement: [Martin Bell, frequentlyCollaboratedInMedium, documentary photography]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: frequentlyCollaboratedInMedium Context triple: [Martin Bell, frequentlyCollaboratedInMedium, documentary photography]
-
A.
mentionedInMedium
Indicates that one entity is referenced, cited, or discussed within a particular medium (such as an article, video, or broadcast).
-
B.
frequentlyCollaboratedWith
Indicates that two entities have worked together on shared activities or projects on a recurring or regular basis.
-
C.
hasCollaboratedIn
Indicates that two or more entities have worked together on a shared project, task, or activity.
-
D.
creditedOnMedium
Indicates that an entity is formally acknowledged or listed as a contributor or source on a particular medium (such as a platform, channel, or publication).
-
E.
publishedInCollaborationWith
Indicates that an entity was published as a result of a joint effort or partnership with another entity.
- 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_69f76ef64cf08190ad3e1114b62aac67 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbc7b78f9481909f4f8fc2e3fdcde1 |
completed | May 6, 2026, 10:59 p.m. |
| PD | Predicate disambiguation | batch_69fbbd18c9908190928d274f8731dfa8 |
completed | May 6, 2026, 10:13 p.m. |
| PDg | Predicate description generation | batch_69fbc7b6c2c88190ad4f58980834053c |
completed | May 6, 2026, 10:59 p.m. |
Created at: May 3, 2026, 4:20 p.m.