Triple
T34891440
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | "I'm as mad as hell, and I'm not going to take this anymore!" |
E1006298
|
entity |
| Predicate | sceneLocationInFiction |
P149210
|
FINISHED |
| Object | UBS Evening News studio |
—
|
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: UBS Evening News studio | Statement: ["I'm as mad as hell, and I'm not going to take this anymore!", sceneLocationInFiction, UBS Evening News studio]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sceneLocationInFiction Context triple: ["I'm as mad as hell, and I'm not going to take this anymore!", sceneLocationInFiction, UBS Evening News studio]
-
A.
locationWithinFiction
Indicates that one fictional location is situated inside or contained within another fictional location.
-
B.
workLocationOfFictionalCharacter
Indicates the place or organization where a fictional character is depicted as working within their narrative context.
-
C.
locatedNearFiction
Indicates that one fictional entity or place is situated close to another within an imagined or narrative context.
-
D.
placeOfFictionalEvent
chosen
Indicates the location where a fictional event is depicted as occurring within a narrative or story.
-
E.
basedInFictionalWorkLocation
Indicates that an entity’s location or setting is situated within a fictional place as depicted in a specific creative work.
- 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_69f76dbedb288190afe5780710847410 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f782c98fa08190870b68de2c1ff26a |
completed | May 3, 2026, 5:15 p.m. |
| PD | Predicate disambiguation | batch_69f781020cc4819088c40cb8589504e4 |
completed | May 3, 2026, 5:08 p.m. |
Created at: May 3, 2026, 4 p.m.