Triple
T13790986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alexandra Burke |
E331392
|
entity |
| Predicate | single |
P3283
|
FINISHED |
| Object | Broken Heels |
E1061162
|
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: Broken Heels | Statement: [Alexandra Burke, single, Broken Heels]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Broken Heels Context triple: [Alexandra Burke, single, Broken Heels]
-
A.
Broken Heels
chosen
"Broken Heels" is a dance-pop single by British singer Alexandra Burke, released from her debut album "Overcome" and known for its upbeat, empowering club sound.
-
B.
Good Heels
Good Heels is a notable establishment or venue located in Ventura, California, likely recognized within the local community for its services or offerings.
-
C.
Hell on Heels
Hell on Heels is a country music album by the Pistol Annies, a trio fronted by Miranda Lambert, known for its sharp, witty songwriting and outlaw-feminist themes.
-
D.
Heels
Heels is a shortened nickname commonly used to refer to the University of North Carolina Tar Heels athletic teams and their supporters.
-
E.
Heels
Heels is a television drama series centered on the world of small-town professional wrestling and the personal and familial conflicts behind the scenes.
- 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_69d81c58feb08190a77bca8bf7d6d20f |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de024af32c8190a9bd1278e09564ba |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b8d6b3c88190aa8fb72d8ad9644d |
completed | May 3, 2026, 9:06 p.m. |
Created at: April 9, 2026, 10:11 p.m.