Triple
T19189813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heartbeat |
E469801
|
entity |
| Predicate | openingTheme |
P2759
|
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: [Heartbeat, openingTheme, "Heartbeat"]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: "Heartbeat" Context triple: [Heartbeat, openingTheme, "Heartbeat"]
-
A.
Heartbeat
Heartbeat is a notable work by Daniel Stewart, recognized for its creative contribution to his body of work.
-
B.
Heartbeat
Heartbeat is a 1986 pop-rock album by American actor and musician Don Johnson, best known for its title track and Johnson’s crossover from television stardom into music.
-
C.
Heartbeat
"Heartbeat" is a song by the British rock band Camp.
-
D.
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.
-
E.
Heartbeat
"Heartbeat" is a popular electronic dance track by the duo Euphoria, known for its uplifting melodies and club-friendly energy.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69d8dd0ad9088190a173b32657ae2e7a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f8a16e20819080baa5112f000b41 |
completed | April 20, 2026, 9:57 a.m. |
Created at: April 10, 2026, 12:07 p.m.