Triple
T23477273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sensitive Skin |
E570296
|
entity |
| Predicate | developer |
P73
|
FINISHED |
| Object | Bob Martin |
—
|
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: Bob Martin | Statement: [Sensitive Skin, developer, Bob Martin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bob Martin Context triple: [Sensitive Skin, developer, Bob Martin]
-
A.
Bob Martin
chosen
Bob Martin is a Canadian actor and writer best known as the co-creator and original star of the Tony Award–winning musical comedy "The Drowsy Chaperone."
-
B.
David Martin
David Martin is a songwriter best known for co-writing the pop ballad "Can't Smile Without You," popularized by Barry Manilow.
-
C.
David Martin
David Martin is a film editor best known for his work on the 1986 biographical drama "Sid and Nancy."
-
D.
Dave Martin
Dave Martin was a British television writer best known for his work on the science fiction series Doctor Who, often collaborating with Bob Baker.
-
E.
Ron Martin
Ron Martin is a British businessman best known for his long and controversial tenure as chairman and owner of Southend United Football Club.
- 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_69e245af8a88819084f2704f6d265a92 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a74dbea8819085ca84391039e7f7 |
completed | April 29, 2026, 6:38 a.m. |
Created at: April 17, 2026, 6:01 p.m.