Triple
T16811015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lex Medlin |
E408607
|
entity |
| Predicate | appearedIn |
P795
|
FINISHED |
| Object | The Good Guys |
E602095
|
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: The Good Guys | Statement: [Lex Medlin, appearedIn, The Good Guys]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Good Guys Context triple: [Lex Medlin, appearedIn, The Good Guys]
-
A.
The Good Guys
chosen
The Good Guys is an American comedic buddy-cop television series that follows a washed-up, old-school detective and his by-the-book partner as they bumble through crime-solving in Dallas.
-
B.
The Good Guys
The Good Guys is an Israeli film directed by and starring Assi Dayan, known as a darkly comic drama reflecting Israeli society and personal turmoil.
-
C.
The Good Guys
The Good Guys is an American sitcom starring Alan Hale Jr. that aired in the late 1960s, centered on the misadventures of a cab driver and his friend who runs a diner.
-
D.
Good Guys
Good Guys is the fictional line of cheerful children's dolls in the "Child's Play" horror franchise, one of which becomes the murderous Chucky.
-
E.
Good Guys
"Good Guys" is a song by British singer-songwriter Mika from his album "No Place in Heaven."
- 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_69d88393905081908d00a86b99996ac8 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b2d0793c81909d938ac174a6e63a |
completed | April 18, 2026, 4:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00b290d8e4819082880444b42ffa43 |
completed | May 10, 2026, 4:30 p.m. |
Created at: April 10, 2026, 5:23 a.m.