Triple
T37321644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michigan State University observatory |
E926494
|
entity |
| Predicate | fictionalEventSite |
P149210
|
FINISHED |
| Object | discovery of the Dibiasky comet in "Don't Look Up" |
—
|
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: discovery of the Dibiasky comet in "Don't Look Up" | Statement: [Michigan State University observatory, fictionalEventSite, discovery of the Dibiasky comet in "Don't Look Up"]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fictionalEventSite Context triple: [Michigan State University observatory, fictionalEventSite, discovery of the Dibiasky comet in "Don't Look Up"]
-
A.
placeOfFictionalEvent
chosen
Indicates the location where a fictional event is depicted as occurring within a narrative or story.
-
B.
fictionalEventMarked
Indicates that an event is identified or designated as fictional rather than real.
-
C.
locatedInFictionalEvent
Indicates that one entity (typically a place, object, or character) exists or occurs within the context or setting of a fictional event.
-
D.
performedAtFictionalLocation
Indicates that an action or event took place at a location that exists only in a fictional or imagined context.
-
E.
capturedInFictionalEvent
Indicates that an entity is depicted as being captured during a fictional event or scenario.
- 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_69f76eb28af88190b093b32e3fd614ab |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69ff59b33a38819086cc9aa19b81748b |
completed | May 9, 2026, 3:58 p.m. |
| PD | Predicate disambiguation | batch_69ff587758f88190a39c2164341dc554 |
completed | May 9, 2026, 3:53 p.m. |
Created at: May 3, 2026, 4:16 p.m.