Triple
T8582412
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Darren Gilshenan |
E203214
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Full Frontal |
E367487
|
NE 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: Full Frontal | Statement: [Darren Gilshenan, notableWork, Full Frontal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Full Frontal Context triple: [Darren Gilshenan, notableWork, Full Frontal]
-
A.
Full Frontal
chosen
Full Frontal is an Australian sketch comedy television series that helped launch the career of actor Eric Bana.
-
B.
Frontale
Frontale is a professional Japanese football club based in Kawasaki, competing in the J1 League.
-
C.
Up Front
Up Front is a World War II-era cartoon collection by Bill Mauldin that satirically depicts the lives and hardships of American infantry soldiers, especially through his famous characters Willie and Joe.
-
D.
Front and Center
"Front and Center" is a World War II-era American film drama written by John Houseman, likely focusing on military life and personal conflict during the war.
-
E.
Top Back
"Top Back" is a 2006 Southern hip hop track by rapper T.I., known for its heavy bass, car-centric themes, and prominence on his album "King."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca8329bb7c8190a63c643730839103 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbeb1d0edc8190b4495935275252f3 |
completed | March 31, 2026, 3:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce89b6d7f081908eecf0dd901e6bef |
completed | April 2, 2026, 3:22 p.m. |
Created at: March 30, 2026, 6:22 p.m.