Triple
T17679235
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Def Comedy Jam |
E440722
|
entity |
| Predicate | featuredPerformer |
P17435
|
FINISHED |
| Object | Sommore |
E1128210
|
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: Sommore | Statement: [Def Comedy Jam, featuredPerformer, Sommore]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sommore Context triple: [Def Comedy Jam, featuredPerformer, Sommore]
-
A.
Sommore
chosen
Sommore is an American stand-up comedian and actress known for her sharp, unapologetic humor and as one of the leading female voices in urban comedy.
-
B.
Somer
Somer is a notable literary work by Afrikaans writer C. M. van den Heever.
-
C.
Samoreau
Samoreau is a small commune in the Seine-et-Marne department in north-central France, situated near the Seine River and known for its quiet residential character.
-
D.
Meano
Meano is an Italian surname most notably associated with Vittorio Meano, an architect known for designing prominent public buildings in South America.
-
E.
Moross
Moross is a surname most notably associated with American composer Jerome Moross, known for his film and television scores and concert works.
- 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_69d8b9e940b081908b862bb0e6e89b0d |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e46f6f8054819087b2fe9bc8ad8d2f |
completed | April 19, 2026, 6 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a022327dbf8819083cc9366ddcf3ed2 |
completed | May 11, 2026, 6:42 p.m. |
Created at: April 10, 2026, 10:01 a.m.