Triple
T9795595
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Odyssey of Flight 33 |
E237708
|
entity |
| Predicate | hasFandomReputation |
P87366
|
FINISHED |
| Object | classic episode of The Twilight Zone |
—
|
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: classic episode of The Twilight Zone | Statement: [The Odyssey of Flight 33, hasFandomReputation, classic episode of The Twilight Zone]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFandomReputation Context triple: [The Odyssey of Flight 33, hasFandomReputation, classic episode of The Twilight Zone]
-
A.
hasFanCommunity
Indicates that an entity is associated with a group of fans who actively follow, support, or engage around it.
-
B.
fandomSignificance
chosen
Indicates the degree to which something holds importance, influence, or prominence within a particular fan community or fandom context.
-
C.
fandomReception
Indicates how a work, character, or creator is perceived, evaluated, and responded to by its fan community.
-
D.
fandomIdentity
Indicates that an entity identifies as a fan or member of a particular fandom associated with another entity.
-
E.
fandomActivity
Indicates participation in or engagement with fan-related activities centered around a particular work, person, or franchise.
- 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_69ca84dc04488190b9c91193976c0960 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda34916dc8190acef2ba003e56a33 |
completed | April 1, 2026, 10:59 p.m. |
| PD | Predicate disambiguation | batch_69cd03da45a88190b71b1be3354c15a6 |
completed | April 1, 2026, 11:39 a.m. |
Created at: March 30, 2026, 8:28 p.m.