Triple
T37669349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gwen DeMarco |
E937910
|
entity |
| Predicate | portrayedInGenreParodyOf |
P80218
|
FINISHED |
| Object | Star Trek franchise |
—
|
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: Star Trek franchise | Statement: [Gwen DeMarco, portrayedInGenreParodyOf, Star Trek franchise]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portrayedInGenreParodyOf Context triple: [Gwen DeMarco, portrayedInGenreParodyOf, Star Trek franchise]
-
A.
filmGenreParodied
Indicates that one work humorously imitates, mocks, or satirizes the conventions and characteristics of a particular film genre.
-
B.
portraysCharacterInGenre
chosen
Indicates that an entity depicts or plays a character within works belonging to a specified genre.
-
C.
parodiesWorkType
Indicates that one work humorously imitates or satirizes another work of a particular type or genre.
-
D.
parodies
Indicates that one entity imitates another in an exaggerated or humorous way, often to criticize or comment on the original.
-
E.
satirizedBy
Indicates that the subject is the target or object of satire created or performed by the specified 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_69f76ed6df7c8190b018e5baea716ceb |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69ffb1218cb08190a814c7f0833501a7 |
completed | May 9, 2026, 10:11 p.m. |
| PD | Predicate disambiguation | batch_69ffb083d6988190b2757e0cfd629b75 |
completed | May 9, 2026, 10:09 p.m. |
Created at: May 3, 2026, 4:18 p.m.