Triple
T16481695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Snowmen |
E400333
|
entity |
| Predicate | producedBy |
P490
|
FINISHED |
| Object | Denise Paul |
E1219882
|
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: Denise Paul | Statement: [The Snowmen, producedBy, Denise Paul]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Denise Paul Context triple: [The Snowmen, producedBy, Denise Paul]
-
A.
Denise Paul
chosen
Denise Paul is a television producer best known for her work on the Doctor Who mini-episode "The Night of the Doctor."
-
B.
Denise Robert
Denise Robert is a Canadian film producer known for her work on acclaimed Quebec cinema, including collaborations with director Denys Arcand.
-
C.
Denise Lovett
Denise Lovett is the ambitious young shopgirl protagonist of the British period drama series "The Paradise," known for her keen business sense and progressive ideas in a 19th-century department store.
-
D.
Denise Bauer
Denise Bauer is a fictional attorney character from the television series "Boston Legal," portrayed by actress Julie Bowen.
-
E.
Denise Bryer
Denise Bryer is a British voice actress best known for her work on classic children's television series such as "The Adventures of Twizzle" and "Terrahawks."
- 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_69d883813098819084f5409539723b59 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e02b2c881909576a23bfbd3123c |
completed | April 18, 2026, 7:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a008a2363208190beb218e633d0627e |
completed | May 10, 2026, 1:37 p.m. |
Created at: April 10, 2026, 5:13 a.m.