Triple
T12261101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Carpetbaggers |
E292225
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Martin Balsam |
E163024
|
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: Martin Balsam | Statement: [The Carpetbaggers, stars, Martin Balsam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Martin Balsam Context triple: [The Carpetbaggers, stars, Martin Balsam]
-
A.
Martin Balsam
chosen
Martin Balsam was an American character actor known for his versatile supporting roles in classic films such as "Psycho," "12 Angry Men," and "A Thousand Clowns," for which he won an Academy Award.
-
B.
Stanley Hoffman
Stanley Hoffman is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Hoffman.
-
C.
Louis Begley
Louis Begley is a Polish-born American novelist and lawyer best known for his critically acclaimed works exploring identity, morality, and the legacy of the Holocaust.
-
D.
Martin Milner
Martin Milner was an American film and television actor best known for his leading roles in the series "Route 66" and "Adam-12."
-
E.
Robert Culp
Robert Culp was an American actor best known for his charismatic leading roles in 1960s television, particularly in stylish espionage and crime dramas.
- 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_69d6ab6856488190b5d31178d5015f8e |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91cd964ec81908241d2b9a96d1025 |
completed | April 10, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65e9c1f948190a08c6ae591da7010 |
completed | May 2, 2026, 8:29 p.m. |
Created at: April 8, 2026, 9:52 p.m.