Triple
T8296876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John LaRue |
E194241
|
entity |
| Predicate | hasSurname |
P18
|
FINISHED |
| Object | LaRue |
E257216
|
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: LaRue | Statement: [John LaRue, hasSurname, LaRue]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LaRue Context triple: [John LaRue, hasSurname, LaRue]
-
A.
LaRue
chosen
LaRue is a surname of French origin borne by various notable individuals across politics, arts, and other fields.
-
B.
Jesse Vint
Jesse Vint is an American actor best known for his roles in 1970s and 1980s science fiction and exploitation films, including the cult classic "Silent Running."
-
C.
Moneague
Moneague is a rural village in Jamaica known for its karst landscape, seasonal lake, and location along the main road through Saint Ann Parish.
-
D.
Shadow Henderson
Shadow Henderson is a charismatic jazz saxophonist character in Spike Lee's film "Mo’ Better Blues," known for his talent, ego, and complicated friendship with bandleader Bleek Gilliam.
-
E.
John LaRue
John LaRue was an early American pioneer and landowner in Kentucky after whom LaRue County was named.
- 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_69ca82e50ebc81909aa7b260c76bd757 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7df887148190bddc2609bc885cb4 |
completed | March 31, 2026, 7:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd68ad2f248190a1de95c01ddee259 |
completed | April 1, 2026, 6:49 p.m. |
Created at: March 30, 2026, 5:53 p.m.