Triple
T19268659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wah-Wah |
E481856
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Robin Sales |
—
|
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: Robin Sales | Statement: [Wah-Wah, editedBy, Robin Sales]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robin Sales Context triple: [Wah-Wah, editedBy, Robin Sales]
-
A.
Robin Sales
chosen
Robin Sales is an editor known for working on the film "Wild Target."
-
B.
Phil Sellers
Phil Sellers was a standout forward for Rutgers University in the 1970s who became the program’s all-time leading scorer and led the team to the 1976 Final Four.
-
C.
Robin Dixon
Robin Dixon is known primarily as the child of Marcus Dixon.
-
D.
Michael L. Sale
Michael L. Sale is an editor known for his work on the publication "Central Intelligence."
-
E.
Michael L. Sale
Michael L. Sale is a film editor known for his work on major Hollywood comedies, including the hit movie "Bridesmaids."
- 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_69d8e8ce54cc8190998418ff1f66ef28 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fbb68d0c819083ba0ce680dd7d99 |
completed | April 20, 2026, 10:11 a.m. |
Created at: April 10, 2026, 1:29 p.m.