Triple
T22914967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | W. Earl Brown |
E568709
|
entity |
| Predicate | playedCharacter |
P1507
|
FINISHED |
| Object | Kenny |
—
|
NE NERFINISHED |
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: Kenny | Statement: [W. Earl Brown, playedCharacter, Kenny]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kenny Context triple: [W. Earl Brown, playedCharacter, Kenny]
-
A.
Kenny
"Kenny" is a 1979 country music album by American singer Kenny Rogers that features several of his popular hits from that era.
-
B.
Kenny
chosen
Kenny is a central, emotionally complex survivor and key supporting character in Telltale Games’ The Walking Dead video game series.
-
C.
Kenny
Kenny is the mischievous boy protagonist from the animated pilot "Kenny and the Chimp: Diseasy Does It," created by Craig McCracken.
-
D.
Kenny
Kenny is a supporting character in the 2006 romantic drama film "The Last Kiss," which explores the anxieties and complications of approaching adulthood and commitment.
-
E.
Kenny
Kenny is a central character in William Inge's play "A Loss of Roses," around whom much of the drama's emotional and relational tension revolves.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2458d90c88190a58cead4e781ca6a |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18078077881908b8124cc22110c6e |
completed | April 29, 2026, 3:52 a.m. |
Created at: April 17, 2026, 3:42 p.m.