Triple
T20870503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hal Kanter |
E513877
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Kanter
Kanter is a surname most notably associated with American comedy writer and director Hal Kanter, known for his work in film and television.
|
E1454891
|
NE FINISHED |
How this triple was built (4 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: Kanter | Statement: [Hal Kanter, familyName, Kanter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kanter Context triple: [Hal Kanter, familyName, Kanter]
-
A.
David Kanter
David Kanter is a film and television producer best known for his work on independent and character-driven projects such as "The End of the Tour."
-
B.
Randle
Randle is a surname most prominently associated with American professional basketball player Julius Randle of the NBA.
-
C.
Kurtoe
Kurtoe is a traditional cultural region in northeastern Bhutan, known for its rich heritage and association with the historic Lhuentse area.
-
D.
Montalbert
Montalbert is a village-level ski resort area that forms part of the larger La Plagne ski domain in the French Alps.
-
E.
Garnett
Garnett is a surname most notably associated with American film director Tay Garnett, known for his work in classic Hollywood cinema.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kanter Triple: [Hal Kanter, familyName, Kanter]
Generated description
Kanter is a surname most notably associated with American comedy writer and director Hal Kanter, known for his work in film and television.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kanter Target entity description: Kanter is a surname most notably associated with American comedy writer and director Hal Kanter, known for his work in film and television.
-
A.
David Kanter
David Kanter is a film and television producer best known for his work on independent and character-driven projects such as "The End of the Tour."
-
B.
Randle
Randle is a surname most prominently associated with American professional basketball player Julius Randle of the NBA.
-
C.
Kurtoe
Kurtoe is a traditional cultural region in northeastern Bhutan, known for its rich heritage and association with the historic Lhuentse area.
-
D.
Montalbert
Montalbert is a village-level ski resort area that forms part of the larger La Plagne ski domain in the French Alps.
-
E.
Garnett
Garnett is a surname most notably associated with American film director Tay Garnett, known for his work in classic Hollywood cinema.
- F. None of above. chosen
Provenance (5 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_69e0b4f675cc8190b4e745225b62eb66 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c4637ec48190830023d20fb8124c |
completed | April 21, 2026, 12:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09139a9ef081909585c53823e12ca4 |
completed | May 17, 2026, 1:02 a.m. |
| NEDg | Description generation | batch_6a09144734b0819090901b8e6590222f |
completed | May 17, 2026, 1:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0914a0fb4c8190be5d504ff65dfe32 |
completed | May 17, 2026, 1:06 a.m. |
Created at: April 16, 2026, 12:45 p.m.