Triple
T11747656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rendition |
E279324
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Alan Arkin |
E97723
|
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: Alan Arkin | Statement: [Rendition, stars, Alan Arkin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alan Arkin Context triple: [Rendition, stars, Alan Arkin]
-
A.
Alan Arkin
chosen
Alan Arkin was an American actor, director, and writer renowned for his versatile performances in film, television, and theater over a career spanning more than six decades.
-
B.
Adam Arkin
Adam Arkin is an American actor and director known for his work in television series such as "Chicago Hope" and "Northern Exposure," as well as numerous film and stage roles.
-
C.
Yitzhak Edward Asner
Yitzhak Edward Asner, better known as Ed Asner, was an American actor and activist renowned for his role as Lou Grant on both "The Mary Tyler Moore Show" and its dramatic spin-off "Lou Grant."
-
D.
Stanley Hoffman
Stanley Hoffman is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Hoffman.
-
E.
Judd Hirsch
Judd Hirsch is an American actor best known for his Emmy-winning role on the sitcom "Taxi" and his work in film, television, and theater over several decades.
- 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_69d6ab01038c819080714901502c84fc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a50763a081908597da118bd0a64e |
completed | April 10, 2026, 7:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f1308339ac8190b579a8c1bee2a2c2 |
completed | April 28, 2026, 10:11 p.m. |
Created at: April 8, 2026, 9:41 p.m.