Triple
T14166623
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grandfathered |
E351093
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | Daniel Chun |
E1083094
|
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: Daniel Chun | Statement: [Grandfathered, executiveProducer, Daniel Chun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daniel Chun Context triple: [Grandfathered, executiveProducer, Daniel Chun]
-
A.
Daniel Chun
chosen
Daniel Chun is a television writer and producer best known for his work on shows like "The Office," "The Simpsons," and for creating the sitcom "Grandfathered."
-
B.
John Chang
John Chang, also known as Chang Myon, was a prominent South Korean statesman who served as the country’s second prime minister and a key leader in its early democratic movement.
-
C.
Ben Chang
Ben Chang is a chaotic and eccentric Spanish teacher-turned-student from the TV sitcom "Community," known for his unpredictable behavior and over-the-top antics.
-
D.
John Cheng
John Cheng is a film producer best known for his work on the dark comedy movie "Horrible Bosses."
-
E.
Christopher Chung
Christopher Chung is an actor known for his role in the British spy drama series "Slow Horses."
- 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_69d8278775fc8190b0802d22ca2f495d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61b355f08190864c7322bbcb766d |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd193dbbcc819082043d92c174164c |
completed | May 7, 2026, 10:59 p.m. |
Created at: April 10, 2026, 1 a.m.