Triple
T9996516
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Josie Trinidad |
E197214
|
entity |
| Predicate | roleInRalphBreaksTheInternet |
P42552
|
FINISHED |
| Object | co-head of story |
—
|
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: co-head of story | Statement: [Josie Trinidad, roleInRalphBreaksTheInternet, co-head of story]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInRalphBreaksTheInternet Context triple: [Josie Trinidad, roleInRalphBreaksTheInternet, co-head of story]
-
A.
cultRole
Indicates that an entity holds a specific role, position, or function within a cult or cult-like group.
-
B.
playRoleIn
Indicates that an entity participates in or performs a specific function, character, or part within an event, context, or system.
-
C.
roleInStories
chosen
Indicates the specific function, position, or character part an entity plays within one or more stories.
-
D.
roleInRhyme
Indicates the specific function or part an entity plays within a rhyme, such as a character, object, or structural element of the rhyming text.
-
E.
roleInScene
Indicates that an entity participates in a particular scene with a specific role or function within that scene.
- 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_69ca82f3b61c81908ecc2c1c96dbc2e4 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdcb9af6a88190942cc4991bd373c1 |
completed | April 2, 2026, 1:51 a.m. |
| PD | Predicate disambiguation | batch_69cd1da07db88190945bcdab3ca82e71 |
completed | April 1, 2026, 1:29 p.m. |
Created at: March 30, 2026, 8:50 p.m.