Triple
T7353931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Don’t Go Near the Water |
E169574
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | John Tucker Battle |
E446673
|
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: John Tucker Battle | Statement: [Don’t Go Near the Water, screenwriter, John Tucker Battle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Tucker Battle Context triple: [Don’t Go Near the Water, screenwriter, John Tucker Battle]
-
A.
John Tucker Battle
chosen
John Tucker Battle was an American screenwriter known for his work on mid-20th-century genre films, including science fiction and adventure movies.
-
B.
Jake Tucker
Jake Tucker is a recurring character on the animated television series "Family Guy," known as the physically deformed son of news anchor Tom Tucker.
-
C.
Junior Tucker
Junior Tucker is a Jamaican reggae and gospel singer known for his smooth vocals and early success as a child star in the 1970s.
-
D.
Blaze Tucker
Blaze Tucker is the daughter of reality television star and singer-songwriter Kandi Burruss and her husband Todd Tucker.
-
E.
Kai Dugan
Kai Dugan is the son of American actress Jennifer Connelly, known primarily for his connection to his famous mother.
- 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_69c68a5878888190968ce4d04db8d69f |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f10d3ef88190b3a0763d80b1e726 |
completed | March 27, 2026, 9:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7fa9dfbac8190993c866cda169633 |
completed | March 28, 2026, 3:58 p.m. |
Created at: March 27, 2026, 3:05 p.m.