Triple
T6043553
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Astin |
E134608
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Astin |
E261217
|
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: Astin | Statement: [John Astin, familyName, Astin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Astin Context triple: [John Astin, familyName, Astin]
-
A.
Astin
chosen
Astin is the surname of American actor and filmmaker Sean Astin, known for roles in films such as "The Goonies," "Rudy," and "The Lord of the Rings" trilogy.
-
B.
Arvin
Arvin is a small agricultural city in Southern California’s San Joaquin Valley, known for its farming economy and diverse rural community.
-
C.
Altobelli
Altobelli is an Italian surname most notably associated with figures in professional baseball and football, including former MLB manager Joe Altobelli.
-
D.
Astori Shina
Astori Shina is a specific dialectal variety associated with the Shina language.
-
E.
Asta
Asta is the small wire fox terrier dog featured as the beloved pet and occasional comic relief in the classic detective film series "The Thin Man."
- 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_69c00876a69881908088a2626d3b2666 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c056e2b1148190908c4dc43abee266 |
completed | March 22, 2026, 8:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1139b44888190bfa12d19e99ee673 |
completed | March 23, 2026, 10:19 a.m. |
Created at: March 22, 2026, 4:08 p.m.