Triple
T23833390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | cast of Gilligan's Island |
E589573
|
entity |
| Predicate | portraysSocialTypes |
P153785
|
FINISHED |
| Object | working-class sailor |
—
|
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: working-class sailor | Statement: [cast of Gilligan's Island, portraysSocialTypes, working-class sailor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portraysSocialTypes Context triple: [cast of Gilligan's Island, portraysSocialTypes, working-class sailor]
-
A.
depictsSocietyType
Indicates that one entity visually represents or portrays the type or structure of a particular society associated with another entity.
-
B.
protagonistSocialType
Indicates the type of social role, status, or interaction style that the protagonist has within the context of the narrative or scenario.
-
C.
socialType
Indicates the category or nature of a social relationship or interaction that exists between entities.
-
D.
portraysSocialIssue
Indicates that an entity depicts, represents, or brings attention to a social problem or concern within its content or context.
-
E.
portraysGroup
Indicates that one entity depicts, represents, or visually illustrates a group of entities as its subject.
- 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_69e25d1922d481909cab567c06a802ab |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1c7f7aa488190b1bc5cab77a11123 |
completed | April 29, 2026, 8:57 a.m. |
| PD | Predicate disambiguation | batch_69f156036ad48190bc2ffdaf39218bcb |
completed | April 29, 2026, 12:51 a.m. |
| PDg | Predicate description generation | batch_69f158b0e320819090b947ee7eb14116 |
completed | April 29, 2026, 1:02 a.m. |
Created at: April 17, 2026, 8:06 p.m.