Triple
T38474012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | We Fished All Night |
E915498
|
entity |
| Predicate | portraysSocialIssues |
P109068
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [We Fished All Night, portraysSocialIssues, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portraysSocialIssues Context triple: [We Fished All Night, portraysSocialIssues, true]
-
A.
portraysSocialIssue
chosen
Indicates that an entity depicts, represents, or brings attention to a social problem or concern within its content or context.
-
B.
socialIssue
Indicates a relationship where something is recognized or treated as a problem or concern affecting society or a community at large.
-
C.
portraysSocialTypes
Indicates that an entity depicts or represents particular social roles, groups, or character types.
-
D.
challengesPortrayalOf
Indicates that one entity questions, disputes, or undermines the way another entity is represented or depicted.
-
E.
socialStatusIssues
Indicates that there are problems, conflicts, or complications related to the relative social standing or status between the entities.
- 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_69f76e8ff5cc8190a88803369183845e |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69ffde9263248190996f970b6cf6e49d |
completed | May 10, 2026, 1:25 a.m. |
| PD | Predicate disambiguation | batch_69ffdd760f1c8190abc6c0c1cd97ba5f |
completed | May 10, 2026, 1:20 a.m. |
Created at: May 3, 2026, 4:31 p.m.