Triple
T16269651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bob Dalton |
E394964
|
entity |
| Predicate | notableRelative |
P367
|
FINISHED |
| Object | Grat Dalton |
E1203867
|
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: Grat Dalton | Statement: [Bob Dalton, notableRelative, Grat Dalton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grat Dalton Context triple: [Bob Dalton, notableRelative, Grat Dalton]
-
A.
Grat Dalton
chosen
Grat Dalton was an American outlaw and member of the infamous Dalton Gang, known for bank and train robberies in the late 19th-century Old West.
-
B.
Bill Dalton
Bill Dalton was an American outlaw associated with the Dalton Gang and later the Doolin-Dalton Gang during the late 19th-century Old West.
-
C.
Bob Dalton
Bob Dalton was an American outlaw best known as the leader of the Dalton Gang, which robbed banks and trains in the late 19th-century Old West.
-
D.
Richard Dalton
Richard Dalton is a personal name shared by multiple individuals across various fields, including sports, academia, and the arts.
-
E.
Wally Dalton
Wally Dalton is an actor known for his role in the independent drama film "Wendy and Lucy."
- 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_69d87f221d8081909b0b2063e7528ba2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e24608dd20819082f46a64af233038 |
completed | April 17, 2026, 2:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0025fb88488190a2979c75fba67b9d |
completed | May 10, 2026, 6:30 a.m. |
Created at: April 10, 2026, 5:05 a.m.