Triple
T20719565
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greg Tiernan |
E509273
|
entity |
| Predicate | workedFor |
P1910
|
FINISHED |
| Object | Film Roman |
—
|
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: Film Roman | Statement: [Greg Tiernan, workedFor, Film Roman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Film Roman Context triple: [Greg Tiernan, workedFor, Film Roman]
-
A.
Film Roman
chosen
Film Roman is an American animation studio best known for producing popular television series such as The Simpsons and King of the Hill.
-
B.
Movie Road
Movie Road is a scenic dirt road winding through California’s Alabama Hills, famed for its dramatic rock formations and frequent use as a filming location for Westerns and other movies.
-
C.
Film Wing
Film Wing is a core academic division of the Film and Television Institute of India that focuses on training students in various aspects of filmmaking and cinema.
-
D.
Flims
Flims is a Swiss alpine resort village in the canton of Graubünden, known for its skiing, hiking, and scenic mountain landscapes.
-
E.
Capital Film
Capital Film is an Italian film production company known for producing genre movies during the 1960s and 1970s.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4c4cc648190b45fda6e2b20af56 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c1d4de6c81908f8c98c2f1e70cc4 |
completed | April 21, 2026, 12:16 a.m. |
Created at: April 16, 2026, 12:26 p.m.