Triple
T20744375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Duttine |
E510536
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Heartbeat |
—
|
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: Heartbeat | Statement: [John Duttine, notableWork, Heartbeat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heartbeat Context triple: [John Duttine, notableWork, Heartbeat]
-
A.
Heartbeat
"Heartbeat" is a song that follows "I Like It" in a track sequence, likely continuing the musical style or thematic elements of its predecessor.
-
B.
Heartbeat
chosen
Heartbeat is a British period drama television series set in 1960s rural Yorkshire, following the lives and work of local police officers and villagers.
-
C.
Heartbeat
Heartbeat is a South Korean television drama series that blends romance, fantasy, and comedy, centered on a half-human, half-vampire character navigating love and identity.
-
D.
Heartbeat
"Heartbeat" is a popular electronic dance track by the duo Euphoria, known for its uplifting melodies and club-friendly energy.
-
E.
Heartbeat
Heartbeat is a notable work by Daniel Stewart, recognized for its creative contribution to his body of work.
- 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_69e0b4c845e88190b4c5f3ae79291182 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c21197088190951a4c4a7e765891 |
completed | April 21, 2026, 12:17 a.m. |
Created at: April 16, 2026, 12:33 p.m.