Triple
T16528162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Alter |
E401492
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Tom Alter |
E401492
|
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: Tom Alter | Statement: [Tom Alter, name, Tom Alter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tom Alter Context triple: [Tom Alter, name, Tom Alter]
-
A.
Tom Alter
chosen
Tom Alter was an Indian actor of American descent known for his prolific work in Hindi cinema, theatre, and television, often portraying British and colonial-era characters.
-
B.
Sam Fields
Sam Fields is known primarily as the husband of acclaimed American film editor Verna Fields.
-
C.
Daryl Roth
Daryl Roth is a prominent American theatrical producer known for her extensive work on Broadway and Off-Broadway, including numerous award-winning plays and musicals.
-
D.
Len Lesser
Len Lesser was an American character actor best known for his recurring role as Uncle Leo on the television sitcom "Seinfeld."
-
E.
Charles Matthau
Charles Matthau is an American film and television director and producer, and the son of actor Walter Matthau.
- 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_69d883838abc8190bc79cb2d41733ce2 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32ed57be481908625d4c5aab0940c |
completed | April 18, 2026, 7:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00608efd0c81908e64419bd74eb285 |
completed | May 10, 2026, 10:40 a.m. |
Created at: April 10, 2026, 5:14 a.m.