Triple
T18026358
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ringo Kid |
E431261
|
entity |
| Predicate | portrayalHelpedEstablish |
P33121
|
FINISHED |
| Object | John Wayne as a major star |
—
|
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: John Wayne as a major star | Statement: [Ringo Kid, portrayalHelpedEstablish, John Wayne as a major star]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portrayalHelpedEstablish Context triple: [Ringo Kid, portrayalHelpedEstablish, John Wayne as a major star]
-
A.
portrayalLedTo
chosen
Indicates that one entity’s portrayal of another caused or significantly contributed to a subsequent outcome, reaction, or state involving that other entity.
-
B.
portrayalIntroduced
Indicates that one entity is introduced or presented as a portrayal or depiction of another entity.
-
C.
portraysContribution
Indicates that one entity depicts, represents, or illustrates the contribution or role of another entity.
-
D.
portrayalStart
Indicates the point in time or sequence at which a particular portrayal or depiction of something begins.
-
E.
portrayalReceived
Indicates that an entity has been depicted or represented by another entity, such as through an image, performance, or description.
- 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_69d8b9050fb48190890155145deb0a66 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4b9c6a4208190846ed28681ba7daa |
completed | April 19, 2026, 11:17 a.m. |
| PD | Predicate disambiguation | batch_69e3f904b8048190add43883cd7cb191 |
completed | April 18, 2026, 9:35 p.m. |
Created at: April 10, 2026, 10:24 a.m.