Triple
T10288353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Martha Reeves |
E241294
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Honey Chile |
E298297
|
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: Honey Chile | Statement: [Martha Reeves, notableWork, Honey Chile]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Honey Chile Context triple: [Martha Reeves, notableWork, Honey Chile]
-
A.
Honey Chile
chosen
"Honey Chile" is a 1967 Motown soul single by Martha and the Vandellas that became one of the group's later charting hits.
-
B.
Honeychile Rider
Honeychile Rider is a fictional Bond girl and shell diver who appears as a key character in Ian Fleming’s James Bond story "Dr. No."
-
C.
Caramelo
"Caramelo" is a popular reggaeton/Latin urban hit song by Puerto Rican singer Ozuna, known for its catchy melody and romantic lyrics.
-
D.
Caramelo
Caramelo is a novel by Sandra Cisneros that explores a Mexican American family’s history, identity, and intergenerational relationships through the memories tied to a cherished rebozo (shawl).
-
E.
Cholula
Cholula is a historic Mexican city famed for its Great Pyramid and rich pre-Hispanic and colonial heritage.
- 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_69d381aaafc08190af475ef58dc16aba |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2b9d76c8190b1ef6ecf4c1a2a09 |
completed | April 7, 2026, 9:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f8556f4081908390bc5c14dcf560 |
completed | April 9, 2026, 12:52 a.m. |
Created at: April 6, 2026, 11:41 a.m.