Triple
T16457626
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Undeclared |
E399721
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object | Timm Sharp |
E835341
|
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: Timm Sharp | Statement: [Undeclared, hasCastMember, Timm Sharp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Timm Sharp Context triple: [Undeclared, hasCastMember, Timm Sharp]
-
A.
Timm Sharp
chosen
Timm Sharp is an American actor and comedian known for his roles in television series such as "Enlightened" and various indie films.
-
B.
Scott Joss
Scott Joss is an American country and bluegrass fiddler, mandolinist, and singer best known for his longtime work with artists like Merle Haggard and Dwight Yoakam.
-
C.
John Karlen
John Karlen was an American character actor best known for his roles in the gothic soap opera "Dark Shadows" and the crime drama series "Cagney & Lacey."
-
D.
Rob Lord
Rob Lord is a British film and television composer known for his eclectic, melodic scores across independent features and mainstream productions.
-
E.
Chris McKenna
Chris McKenna is an American screenwriter and producer known for his work on films like the Marvel Cinematic Universe’s Spider-Man series and TV shows such as Community.
- 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_69d87f2dac988190b74d6e185fa88ba4 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32d7ef5cc819084cfeb1a3e39d3cc |
completed | April 18, 2026, 7:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a004f51d93081909ede0adcf8e604d4 |
completed | May 10, 2026, 9:26 a.m. |
Created at: April 10, 2026, 5:10 a.m.