Triple
T35016244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gold Stars |
E1010060
|
entity |
| Predicate | narrativeRoleOfSweetP |
P42552
|
FINISHED |
| Object | central character |
—
|
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: central character | Statement: [Gold Stars, narrativeRoleOfSweetP, central character]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: narrativeRoleOfSweetP Context triple: [Gold Stars, narrativeRoleOfSweetP, central character]
-
A.
inNarrativeRole
Indicates that one entity participates in relation to another by occupying a specific narrative function or role within a story or discourse.
-
B.
narratesAs
Indicates that one entity tells, recounts, or presents a story, event, or information in the manner, style, or voice of another entity.
-
C.
narrativeRoleContext
Indicates the contextual narrative function or role an entity plays within a story or discourse (e.g., protagonist, antagonist, narrator) relative to other elements.
-
D.
roleInStories
chosen
Indicates the specific function, position, or character part an entity plays within one or more stories.
-
E.
narratesWith
Indicates that one entity tells, recounts, or presents a story, event, or information in conjunction with or alongside another entity.
- 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_69f76dcc3ac8819096a3ed52f5fa2523 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fd0d0ba5c48190bddb3f0e6637544c |
completed | May 7, 2026, 10:07 p.m. |
| PD | Predicate disambiguation | batch_69fd0c4324a8819086c90adf46216e0e |
completed | May 7, 2026, 10:03 p.m. |
Created at: May 3, 2026, 4:01 p.m.