Triple
T18710299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matt Gerald |
E457487
|
entity |
| Predicate | portrayed |
P1668
|
FINISHED |
| Object | Rooster |
—
|
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: Rooster | Statement: [Matt Gerald, portrayed, Rooster]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rooster Context triple: [Matt Gerald, portrayed, Rooster]
-
A.
Rooster
"Rooster" is a dark, grunge-era song by Alice in Chains that powerfully depicts the Vietnam War through the perspective of guitarist Jerry Cantrell’s father.
-
B.
Rooster
chosen
Rooster is the callsign of Bradley Bradshaw, a U.S. Navy pilot character in the film "Top Gun: Maverick."
-
C.
Rooster
Rooster is a fictional character who serves as the main protagonist in the film "Idlewild."
-
D.
Roosters
Roosters is the commonly used short name for the Sydney Roosters, a professional rugby league club based in Sydney that competes in Australia's National Rugby League (NRL).
-
E.
Chauncey the Chanticleer
Chauncey the Chanticleer is the proud rooster mascot of Coastal Carolina University, symbolizing the school’s spirited and tenacious athletic teams.
- 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_69d8d392aad081909fe31aa03e6e97d1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5671a3c8c81909466bf5d81477a37 |
completed | April 19, 2026, 11:36 p.m. |
Created at: April 10, 2026, 11:50 a.m.