Triple
T13236082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Send Me No Flowers |
E315149
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object | Arwin Productions |
E594465
|
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: Arwin Productions | Statement: [Send Me No Flowers, productionCompany, Arwin Productions]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arwin Productions Context triple: [Send Me No Flowers, productionCompany, Arwin Productions]
-
A.
Arwin Productions
chosen
Arwin Productions was a film and television production company best known for producing mid-20th-century American comedies, including the classic romantic comedy "Pillow Talk."
-
B.
Ardent Productions
Ardent Productions is a British television and film production company founded and run by Prince Edward, Earl of Wessex.
-
C.
Shopkorn Productions
Shopkorn Productions is a film production company known for producing the basketball documentary "Lenny Cooke."
-
D.
Sky Productions
Sky Productions is a television production company best known for co-producing the action-packed drama series "Strike Back."
-
E.
Malpaso Productions
Malpaso Productions is Clint Eastwood’s film production company, known for producing many of his acclaimed movies across several decades.
- 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_69d806affc688190a25b6ccc588e9c72 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98d56da008190af55da3a9e7ffd4d |
completed | April 10, 2026, 11:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f70a35ccc88190881a7066b7af8fea |
completed | May 3, 2026, 8:41 a.m. |
Created at: April 9, 2026, 9:22 p.m.