Triple
T13310560
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Simon Chinn |
E317049
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object | Michael Chinn |
E1048114
|
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: Michael Chinn | Statement: [Simon Chinn, sibling, Michael Chinn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Chinn Context triple: [Simon Chinn, sibling, Michael Chinn]
-
A.
Michael Chinn
chosen
Michael Chinn is a member of the Chinn family, related to the British film producer Simon Chinn.
-
B.
Keith Crouch
Keith Crouch is an American R&B songwriter and record producer best known for his work on Brandy’s early hits and other 1990s soul and gospel projects.
-
C.
Michael Krieger
Michael Krieger is a fictional character appearing in the story of "Watch Over Me."
-
D.
Joel McNeely
Joel McNeely is an American composer and conductor best known for his work on film and television scores, including numerous projects for Disney and other major studios.
-
E.
Michael Nathanson
Michael Nathanson is a film producer known for his work on major Hollywood movies, including the legal drama "A Time to Kill."
- 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_69d806b40ab4819094adf6c374f4811a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d990f56abc8190951774a999e2ce11 |
completed | April 11, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f794202df08190acf1a7710b64198c |
completed | May 3, 2026, 6:29 p.m. |
Created at: April 9, 2026, 9:29 p.m.