Triple
T9996826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tommy Chong |
E197221
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object | Paris Chong |
E835757
|
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: Paris Chong | Statement: [Tommy Chong, hasChild, Paris Chong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paris Chong Context triple: [Tommy Chong, hasChild, Paris Chong]
-
A.
Shelby Chong
Shelby Chong is an American comedian, actress, and producer known for her work in stand-up and film, often collaborating with her husband Tommy Chong.
-
B.
Amy Chiang
Amy Chiang is a member of Taiwan’s influential Chiang family, known primarily as a daughter of former President Chiang Ching-kuo.
-
C.
Robbi Chong
chosen
Robbi Chong is a Canadian actress and former model known for her film and television roles in the 1980s and 1990s.
-
D.
Amy Chow
Amy Chow is an American artistic gymnast and Olympic gold medalist best known as a member of the 1996 U.S. women's "Magnificent Seven" team.
-
E.
Christina Chong
Christina Chong is a British actress best known for her role as La’an Noonien-Singh in the television series "Star Trek: Strange New Worlds."
- 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_69ca82f3b61c81908ecc2c1c96dbc2e4 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdcb9af6a88190942cc4991bd373c1 |
completed | April 2, 2026, 1:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2820063f48190886619fe26b0cc94 |
completed | April 5, 2026, 3:38 p.m. |
Created at: March 30, 2026, 8:51 p.m.