Triple
T29139794
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meg bedroom |
E738592
|
entity |
| Predicate | usedForScenesWith |
P171710
|
FINISHED |
| Object | Meg Griffin |
—
|
NE NERFINISHED |
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: Meg Griffin | Statement: [Meg bedroom, usedForScenesWith, Meg Griffin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedForScenesWith Context triple: [Meg bedroom, usedForScenesWith, Meg Griffin]
-
A.
performedInSceneType
Indicates that an action or event was carried out within a scene of a specified type or category.
-
B.
performedInScene
Indicates that an action or event took place within a specific scene or setting.
-
C.
isSettingOfScene
chosen
Indicates that a particular location, time, or environment serves as the backdrop or context in which a scene takes place.
-
D.
scenes
Indicates that one entity is a scene or setting in which the other entity occurs, appears, or is depicted.
-
E.
numberOfScenes
Indicates the total count of distinct scenes associated with or contained within an 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_69f07cb3adb48190a9e0e169cd026634 |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69f73223675481908c1bc3208c0f5284 |
completed | May 3, 2026, 11:31 a.m. |
| PD | Predicate disambiguation | batch_69f7317690108190b3aae2cd2e1d069e |
completed | May 3, 2026, 11:28 a.m. |
Created at: April 28, 2026, 11:36 a.m.