Triple
T6954266
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neighbors |
E161202
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Zene Baker |
E202057
|
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: Zene Baker | Statement: [Neighbors, editedBy, Zene Baker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zene Baker Context triple: [Neighbors, editedBy, Zene Baker]
-
A.
Zene Baker
chosen
Zene Baker is a film editor known for his work on major comedies and Marvel films, including Thor: Ragnarok.
-
B.
Geo Baker
Geo Baker is an American former college basketball guard best known for his standout career and leadership with the Rutgers Scarlet Knights men's basketball program.
-
C.
Santee Smith
Santee Smith is a Mohawk artist, dancer, and choreographer from Six Nations of the Grand River, renowned for her Indigenous-centered performance work and leadership in the arts and education.
-
D.
Rue Bennett
Rue Bennett is the troubled, drug-addicted teenage protagonist of the television series "Euphoria," known for her raw, introspective narration and complex emotional struggles.
-
E.
Thane Baker
Thane Baker was an American sprinter and Olympic medalist known for his achievements in the 100 m and 200 m events during the 1950s.
- 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_69c68852a9a0819097797e31d492e273 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dacca12481908942ba793a104cc3 |
completed | March 27, 2026, 7:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c75883f6888190a75515be49e7879e |
completed | March 28, 2026, 4:26 a.m. |
Created at: March 27, 2026, 2:29 p.m.