Triple
T17909613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muscle Man |
E447785
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Starla |
—
|
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: Starla | Statement: [Muscle Man, spouse, Starla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Starla Context triple: [Muscle Man, spouse, Starla]
-
A.
Starla
chosen
Starla is a recurring character from the animated series "Regular Show," known as Muscle Man’s loud, aggressive, and on-again, off-again girlfriend.
-
B.
Stella
Stella is a key character in Guy Ritchie's crime film "RocknRolla," known as a sharp, stylish accountant entangled in the London underworld.
-
C.
Stella
Stella is an American comedy trio and sketch group best known for its absurdist humor and for featuring comedians Michael Ian Black, Michael Showalter, and David Wain.
-
D.
Stella
Stella is a feminine given name of Latin origin meaning "star," used internationally and popularized in various cultures and media.
-
E.
Stella
Stella is a British comedy-drama television series created by and starring Ruth Jones, set in a small Welsh town and centered on the life of a warm-hearted single mother.
- 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_69d8b9f6d394819082a6d69fd1e23d2f |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49e9f4f888190840c8b55672becf8 |
completed | April 19, 2026, 9:21 a.m. |
Created at: April 10, 2026, 10:19 a.m.