Triple
T10494498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Garden State |
E247498
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Jim Parsons |
E68068
|
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: Jim Parsons | Statement: [Garden State, castMember, Jim Parsons]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jim Parsons Context triple: [Garden State, castMember, Jim Parsons]
-
A.
Jim Parsons
chosen
Jim Parsons is an American actor best known for his Emmy-winning portrayal of Sheldon Cooper on the hit sitcom "The Big Bang Theory."
-
B.
Jim Parsons
Jim Parsons is a Canadian politician who has served as the mayor of Corner Brook, Newfoundland and Labrador.
-
C.
Josh Radnor
Josh Radnor is an American actor, director, and writer best known for playing Ted Mosby on the television sitcom "How I Met Your Mother."
-
D.
Owen Wilson
Owen Wilson is an American actor and screenwriter known for his laid-back charm and roles in popular comedies and adventure films such as "Wedding Crashers," "Zoolander," and "Midnight in Paris."
-
E.
Kal Penn
Kal Penn is an American actor and former White House staff member best known for his roles in the "Harold & Kumar" film series and the TV show "House."
- 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_69d381c309b88190af78aa681cf6a4c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5097fe2bc81909d66ce43f3533284 |
completed | April 7, 2026, 1:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d8dcaeb6088190829b6c26eb1de7d5 |
completed | April 10, 2026, 11:19 a.m. |
Created at: April 6, 2026, 12:24 p.m.