Triple
T13403721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jonathan Hyde |
E319895
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Anaconda |
E492792
|
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: Anaconda | Statement: [Jonathan Hyde, notableWork, Anaconda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anaconda Context triple: [Jonathan Hyde, notableWork, Anaconda]
-
A.
Anaconda
"Anaconda" is a 2014 hip hop single by Nicki Minaj, best known for its Sir Mix-a-Lot–sampling beat, provocative lyrics, and viral music video.
-
B.
Anaconda
chosen
Anaconda is a 1997 adventure-horror film about a documentary crew in the Amazon that encounters a giant, deadly snake.
-
C.
Anaconda
Anaconda is a historic former copper mining town in southwestern Montana known for its towering smelter stack and surrounding mountain recreation areas.
-
D.
Anaconda Vise
Anaconda Vise is a professional wrestling submission hold popularized by CM Punk, involving a modified arm-trap headlock that targets an opponent’s shoulder and neck.
-
E.
Codo
Codo is a small municipality in the province of Zaragoza, in the autonomous community of Aragon, Spain.
- 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_69d806b943cc8190b6af624d385d7e12 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbae4ae47081909b68a9aaa62fd4c7 |
completed | April 12, 2026, 2:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7307904608190ad647f741c08dc42 |
completed | May 3, 2026, 11:24 a.m. |
Created at: April 9, 2026, 9:34 p.m.