Triple
T20610189
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Angela Thorne |
E506426
|
entity |
| Predicate | appearedIn |
P795
|
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: [Angela Thorne, appearedIn, Heartbeat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heartbeat Context triple: [Angela Thorne, appearedIn, Heartbeat]
-
A.
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.
-
B.
Heartbeat
"Heartbeat" is a song by the British rock band Camp.
-
C.
Heartbeat
"Heartbeat" is a popular electronic dance track by the duo Euphoria, known for its uplifting melodies and club-friendly energy.
-
D.
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.
-
E.
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.
- 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_69e0b4bb2b4081908fa4a72444120f35 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6aad6f53481908fb242947dda7028 |
completed | April 20, 2026, 10:38 p.m. |
Created at: April 16, 2026, 11:41 a.m.