Triple
T6402949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jack Palance |
E144106
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Walter Jack Palance |
E144106
|
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: Walter Jack Palance | Statement: [Jack Palance, alsoKnownAs, Walter Jack Palance]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Walter Jack Palance Context triple: [Jack Palance, alsoKnownAs, Walter Jack Palance]
-
A.
Jack Palance
chosen
Jack Palance was an American actor known for his intense, rugged screen presence and memorable roles in films such as "Shane" and "City Slickers."
-
B.
Efrem Zimbalist
Efrem Zimbalist was a renowned Russian-American violinist, composer, and influential pedagogue of the 20th century.
-
C.
Frank Giustra
Frank Giustra is a Canadian businessman and philanthropist best known as the founder of Lionsgate Entertainment and for his extensive work in the mining and film industries.
-
D.
Peter Neal
Peter Neal is an American lawyer known for being married to Naomi Biden, the granddaughter of U.S. President Joe Biden.
-
E.
Dan Duryea
Dan Duryea was an American character actor best known for his distinctive portrayals of sneering villains and tough guys in film noir and classic Hollywood movies of the 1940s and 1950s.
- 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_69c008dc56fc81908d43ffcc11d73bdd |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c068af3f448190a94ecd5109e9e8e4 |
completed | March 22, 2026, 10:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7616755d48190b285ff66ccd8bf3a |
completed | March 28, 2026, 5:04 a.m. |
Created at: March 22, 2026, 4:35 p.m.