Triple
T23326510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bert |
E591307
|
entity |
| Predicate | hasFictionalBearer |
P7927
|
FINISHED |
| Object | Bert from Sesame Street |
—
|
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: Bert from Sesame Street | Statement: [Bert, hasFictionalBearer, Bert from Sesame Street]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bert from Sesame Street Context triple: [Bert, hasFictionalBearer, Bert from Sesame Street]
-
A.
Big Bird
Big Bird is a towering yellow bird Muppet from the children's television show "Sesame Street," known for his childlike curiosity and friendly, gentle personality.
-
B.
Big Bird
Big Bird is the nickname for Terminal 1 at Tokyo’s Haneda Airport, a major domestic flight hub known for its extensive shopping and dining facilities.
-
C.
Bert
chosen
Bert is a masculine given name, often used as a short form of names like Albert, Herbert, or Bertram.
-
D.
Bert
Bert is a film director best known for co-directing the 2019 coming-of-age comedy-drama "Troop Zero."
-
E.
Bert
Bert is a Swedish film or television production best known as an early directorial work by acclaimed filmmaker Tomas Alfredson.
- 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_69e25d1effe4819096907f95f610dbff |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f197eaa7b88190aad2096c110dadea |
completed | April 29, 2026, 5:32 a.m. |
Created at: April 17, 2026, 5:12 p.m.