Triple
T21686949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | What's Your Number? |
E535253
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Heather Burns |
—
|
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: Heather Burns | Statement: [What's Your Number?, starring, Heather Burns]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heather Burns Context triple: [What's Your Number?, starring, Heather Burns]
-
A.
Heather Burns
chosen
Heather Burns is an American actress best known for her comedic supporting roles in films such as "Miss Congeniality" and "You've Got Mail."
-
B.
Heather Dunn
Heather Dunn is an American musician best known as the drummer for the 1990s indie pop band Tiger Trap.
-
C.
Heather Horton
Heather Horton is a Canadian-born visual artist and painter known for her introspective, narrative-driven figurative and landscape works.
-
D.
Heather Persons
Heather Persons is a film editor best known for her work on the independent comedy-drama "Sunshine Cleaning."
-
E.
Heather McIntosh
Heather McIntosh is an American cellist and film composer known for her work on independent films and collaborations across experimental and indie music scenes.
- 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_69e0c469b6ec8190aee4cadd1527db91 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef96cc31b8819086ca980521f94501 |
completed | April 27, 2026, 5:03 p.m. |
Created at: April 16, 2026, 6:44 p.m.