Triple
T25317900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Titanic (Broadway musical) |
E634796
|
entity |
| Predicate | portraysClassDivisions |
P153785
|
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: [Titanic (Broadway musical), portraysClassDivisions, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portraysClassDivisions Context triple: [Titanic (Broadway musical), portraysClassDivisions, true]
-
A.
haveSocialDivision
Indicates that a group or society is organized into distinct social categories, classes, or divisions that differentiate its members.
-
B.
portraysSocialIssue
Indicates that an entity depicts, represents, or brings attention to a social problem or concern within its content or context.
-
C.
depictsSocietyType
Indicates that one entity visually represents or portrays the type or structure of a particular society associated with another entity.
-
D.
portraysSocialTypes
chosen
Indicates that an entity depicts or represents particular social roles, groups, or character types.
-
E.
portraysGroup
Indicates that one entity depicts, represents, or visually illustrates a group of entities as its subject.
- 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_69e75a9847c08190bb02990d06d5ffb7 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f63fd6c68481908c542aa03e297b9c |
completed | May 2, 2026, 6:17 p.m. |
| PD | Predicate disambiguation | batch_69f63c6456608190b94e7c2e2c2a4824 |
completed | May 2, 2026, 6:03 p.m. |
Created at: April 21, 2026, 1:28 p.m.