Triple
T21743532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Sayles |
E536724
|
entity |
| Predicate | wroteScreenplayFor |
P15305
|
FINISHED |
| Object | Alligator |
—
|
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: Alligator | Statement: [John Sayles, wroteScreenplayFor, Alligator]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alligator Context triple: [John Sayles, wroteScreenplayFor, Alligator]
-
A.
Alligator
Alligator is a critically acclaimed 2005 indie rock album by The National that helped establish the band’s distinctive dark, introspective sound.
-
B.
Alligator
Alligator was a prominent Seminole war leader who played a key role in resisting U.S. forces during the Second Seminole War in Florida.
-
C.
Alligator
"Alligator" is a 2019 indie folk/rock single by Icelandic band Of Monsters and Men, known for its energetic, anthemic sound and dynamic music video.
-
D.
Alligator
chosen
Alligator is a 1980 American horror film about a giant, mutated alligator terrorizing a city’s sewers and streets.
-
E.
American alligator
The American alligator is a large, semi-aquatic reptile native to the southeastern United States, known for inhabiting freshwater wetlands and playing a key role as an apex predator in its ecosystems.
- 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_69e0c46df5448190b4322127ffc4c690 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f01a74592c8190959af631d72df479 |
completed | April 28, 2026, 2:24 a.m. |
Created at: April 16, 2026, 6:49 p.m.