Triple
T14853710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Observe and Report |
E349296
|
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: [Observe and Report, editedBy, Zene Baker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zene Baker Context triple: [Observe and Report, 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.
Burney Lamar
Burney Lamar is an American professional race car driver best known for competing in NASCAR events.
-
D.
Enotris Johnson
Enotris Johnson was a songwriter best known for co-writing the rock and roll classic "Long Tall Sally," popularized by Little Richard.
-
E.
Roz Batiste
Roz Batiste is a central character in the film "Eve's Bayou," portrayed as the elegant yet emotionally strained wife and mother grappling with her husband's infidelity and its impact on their family.
- 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_69d822ed7e1881909b90fca143ad7e34 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded44318f0819080b6c599f2d3474f |
completed | April 14, 2026, 11:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe6506ace48190819504b93f575660 |
completed | May 8, 2026, 10:34 p.m. |
Created at: April 10, 2026, 1:54 a.m.