Triple
T12975360
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dillon family |
E321509
|
entity |
| Predicate | hasFamilyName |
P18
|
FINISHED |
| Object | Dillon |
E395150
|
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: Dillon | Statement: [Dillon family, hasFamilyName, Dillon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dillon Context triple: [Dillon family, hasFamilyName, Dillon]
-
A.
Dillon
Dillon is the middle name of famed American baseball player and manager Casey Stengel.
-
B.
Dillon
chosen
Dillon is a surname of Irish origin that has been borne by numerous notable individuals across various fields.
-
C.
Dillon
Dillon is a small city in southwestern Montana known as a regional hub for ranching, outdoor recreation, and as the home of the University of Montana Western.
-
D.
Dillon
Dillon is a tough, muscular CIA operative portrayed by Carl Weathers in the 1987 sci-fi action film "Predator."
-
E.
Dixon
Dixon is a small agricultural city in Northern California known historically for sheep ranching and its annual May Fair.
- 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_69d80763bd6c819094437da5b20b01d2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e48c0208190bb7ec80780480b37 |
completed | April 10, 2026, 10:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6b8ec821c81909398d8e02d69dcbf |
completed | May 3, 2026, 2:54 a.m. |
Created at: April 9, 2026, 8:37 p.m.