Triple
T37961814
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tiny Tina |
E947024
|
entity |
| Predicate | roleInTinyTinasWonderlands |
P204070
|
FINISHED |
| Object | protagonist |
—
|
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: protagonist | Statement: [Tiny Tina, roleInTinyTinasWonderlands, protagonist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInTinyTinasWonderlands Context triple: [Tiny Tina, roleInTinyTinasWonderlands, protagonist]
-
A.
roleInThimbleweedPark
Indicates the specific role or function an entity has within the context of Thimbleweed Park.
-
B.
roleInPikmin2
Indicates the specific function, position, or part an entity has within the context of the game Pikmin 2.
-
C.
roleInKirbySuperStar
Indicates the specific function or part an entity plays within the context of the game *Kirby Super Star*.
-
D.
roleInGoofTroop
Indicates the specific role or function an entity has within the context of the Goof Troop series or franchise.
-
E.
roleInDayOfTheTentacle
Indicates that an entity has a specific role or involvement in the game "Day of the Tentacle."
- 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_69f76ef7062c819091bfacb7e83aa1e0 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a0316136a14819085bb88563d5abc42 |
completed | May 12, 2026, 11:59 a.m. |
| PD | Predicate disambiguation | batch_6a03158a962c81909f17d58197f6ba00 |
completed | May 12, 2026, 11:56 a.m. |
| PDg | Predicate description generation | batch_6a0316129c9081908f01528f62fe8997 |
completed | May 12, 2026, 11:59 a.m. |
Created at: May 3, 2026, 4:20 p.m.