Triple
T7497537
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wings |
E177171
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object | Grub Street Productions |
E175666
|
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: Grub Street Productions | Statement: [Wings, productionCompany, Grub Street Productions]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grub Street Productions Context triple: [Wings, productionCompany, Grub Street Productions]
-
A.
Grub Street Productions
chosen
Grub Street Productions is a television production company best known for producing the acclaimed sitcom "Frasier."
-
B.
Bedlam Productions
Bedlam Productions is a British film production company best known for producing the Academy Award–winning historical drama "The King’s Speech."
-
C.
Gran Via Productions
Gran Via Productions is a television and film production company best known for producing the acclaimed series "Breaking Bad."
-
D.
Primrose Hill Productions
Primrose Hill Productions is a television production company best known for its work on the crime procedural drama series "The Mentalist."
-
E.
Celebrated Productions
Celebrated Productions is a film and media production company known for its work on the movie "Limelight."
- 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_69c69f2583808190bd1a4936c42a5815 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f5963d98819098275b161848d2d4 |
completed | March 27, 2026, 9:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c83c8b28d0819095c7b666d442c7ab |
completed | March 28, 2026, 8:39 p.m. |
Created at: March 27, 2026, 3:44 p.m.