Triple
T36725145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coal Miner's Daughter (book) |
E907173
|
entity |
| Predicate | subjectBirthState |
P27694
|
FINISHED |
| Object | Kentucky |
—
|
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: Kentucky | Statement: [Coal Miner's Daughter (book), subjectBirthState, Kentucky]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subjectBirthState Context triple: [Coal Miner's Daughter (book), subjectBirthState, Kentucky]
-
A.
birthState
chosen
Indicates the state or region in which a person or entity was born.
-
B.
subjectBirthCountry
Indicates the country in which the subject was born.
-
C.
allegedBirthRegion
Indicates the region where an entity is claimed or reported to have been born, without asserting that this birthplace is verified as fact.
-
D.
previousStateOfBirth
Indicates that one state or condition existed immediately before another state or condition came into being.
-
E.
bodyPartFromWhichBorn
Indicates the specific body part of an entity from which another entity is born or emerges.
- F. None of above.
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_69f76e746e4c8190a0d05cc6d57a643e |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fdb04ed81c8190b8feea90c1c785a6 |
completed | May 8, 2026, 9:43 a.m. |
| PD | Predicate disambiguation | batch_69fda9d6c5148190a63205b6d9b0a1b4 |
completed | May 8, 2026, 9:16 a.m. |
Created at: May 3, 2026, 4:12 p.m.