Triple
T20909066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doug Penhall |
E514887
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object | Officer Douglas Penhall |
—
|
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: Officer Douglas Penhall | Statement: [Doug Penhall, fullName, Officer Douglas Penhall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Officer Douglas Penhall Context triple: [Doug Penhall, fullName, Officer Douglas Penhall]
-
A.
Officer Doug Penhall
chosen
Officer Doug Penhall is a lovable, wisecracking undercover cop known for his loyalty and comic relief on the TV series "21 Jump Street."
-
B.
Officer Ray Hechler
Officer Ray Hechler is a fictional law enforcement officer featured as a character in the television series "Boomtown."
-
C.
Officer Tom Turcotte
Officer Tom Turcotte is a fictional police officer featured as a character in the television drama series "Boomtown."
-
D.
Officer Bill Gannon
Officer Bill Gannon is a fictional Los Angeles police officer and Joe Friday’s partner on the television series "Dragnet," portrayed by actor Harry Morgan.
-
E.
Officer Jay McPherson
Officer Jay McPherson is a recurring comedic police officer character from the television series "The Sarah Silverman Program."
- 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_69e0b4f8a1108190bce3d31331290ced |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6e901ca50819080b123af7977efbd |
completed | April 21, 2026, 3:03 a.m. |
Created at: April 16, 2026, 12:48 p.m.