Triple
T14958981
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marta Heflin |
E373009
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Heflin |
E785109
|
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: Heflin | Statement: [Marta Heflin, familyName, Heflin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heflin Context triple: [Marta Heflin, familyName, Heflin]
-
A.
Heflin
chosen
Heflin is a small city in eastern Alabama that serves as the administrative and commercial hub of Cleburne County.
-
B.
MacAuliffe
MacAuliffe is a surname, a spelling variant of McAuliffe, of Irish origin.
-
C.
Broun
Broun is an alternative spelling or variant of the surname "Brown," commonly found in historical and regional records.
-
D.
Tuberville
Tuberville is the surname of Tommy Tuberville, an American politician and former college football coach.
-
E.
Bresnahan
Bresnahan is a surname most notably associated with early 20th-century American baseball player and Hall of Fame catcher Roger Bresnahan.
- 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_69d85cca979481908747d2a81eba1cea |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6cd85bc81909040b7ff78f62554 |
completed | April 15, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe7ea1d78c81909b877fda05ef9231 |
completed | May 9, 2026, 12:24 a.m. |
Created at: April 10, 2026, 2:40 a.m.