Triple
T11227780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Elroy Sanford |
E265739
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Ka Ho Cho |
E255768
|
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: Ka Ho Cho | Statement: [John Elroy Sanford, spouse, Ka Ho Cho]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ka Ho Cho Context triple: [John Elroy Sanford, spouse, Ka Ho Cho]
-
A.
Ka Ho Cho
chosen
Ka Ho Cho is best known as the fourth and final wife of American comedian and actor Redd Foxx.
-
B.
Chan Kong-sang
Chan Kong-sang is the birth name of Jackie Chan, the internationally renowned Hong Kong martial artist, actor, stuntman, and filmmaker.
-
C.
Mun Choi
Mun Choi is a Korean-American engineer and academic administrator who serves as a prominent university leader in the United States.
-
D.
Ko Hong
Ko Hong is a scenic limestone island in Thailand’s Krabi province, known for its turquoise lagoon, white-sand beaches, and popular kayaking and snorkeling spots.
-
E.
Han Sing
Han Sing is a skilled ex-cop and martial artist, portrayed by Jet Li, who seeks vengeance and uncovers a criminal conspiracy in the action film "Romeo Must Die."
- 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_69d6aac656d48190b275efaa7d6074ee |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8ff7b40819089c835be710bc575 |
completed | April 9, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4ad33fdf48190a7118c7c30577ec9 |
completed | April 19, 2026, 10:23 a.m. |
Created at: April 8, 2026, 9:30 p.m.