Triple
T983677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | No and Yes |
E21229
|
entity |
| Predicate | hasTitle |
P38
|
FINISHED |
| Object | No and Yes |
E21229
|
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: No and Yes | Statement: [No and Yes, hasTitle, No and Yes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: No and Yes Context triple: [No and Yes, hasTitle, No and Yes]
-
A.
No and Yes
chosen
"No and Yes" is a theological work by Mary Baker Eddy that clarifies and defends the principles of Christian Science in response to contemporary religious criticism.
-
B.
Oh Yes
"Oh Yes" is a song featured on Whitney Houston’s 1998 R&B/pop album *My Love Is Your Love*.
-
C.
yes
yes is the high-definition television feed of the YES Network, providing its sports programming in HD quality.
-
D.
Black Maybe
"Black Maybe" is a soulful, introspective hip-hop track by Common that explores themes of Black identity, struggle, and resilience.
-
E.
No Strings
No Strings is a 1962 Broadway musical with music and lyrics by Richard Rodgers, notable for being his first show without longtime collaborator Oscar Hammerstein II and for its jazz-influenced score.
- 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_69a493c383dc8190a03257f22d4b4183 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b493f5dc819090d239c2f7e083de |
completed | March 1, 2026, 9:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac1ce3c6fc81909fbbf04eef1b997e |
completed | March 7, 2026, 12:41 p.m. |
Created at: March 1, 2026, 7:41 p.m.