Triple
T9344920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richard Callaghan |
E224863
|
entity |
| Predicate | coached |
P2169
|
FINISHED |
| Object | Michael Weiss |
E372885
|
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 Weiss | Statement: [Richard Callaghan, coached, Michael Weiss]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Weiss Context triple: [Richard Callaghan, coached, Michael Weiss]
-
A.
Michael Weiss
chosen
Michael Weiss is a common personal name shared by multiple notable individuals across fields such as journalism, sports, and the arts.
-
B.
Rob Weiss
Rob Weiss is an American television and film producer, writer, and director best known for his work on the HBO series "Entourage."
-
C.
Andrew Weiss
Andrew Weiss is a notable individual whose specific prominence or field of recognition is not clearly identifiable from the given information alone.
-
D.
Jeffrey Weissman
Jeffrey Weissman is an American actor best known for taking over the role of George McFly in the Back to the Future film series.
-
E.
Martin Weinberg
Martin Weinberg is a sociologist known for his influential research on human sexuality, sexual deviance, and the social construction of sexual norms.
- 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_69ca842993248190a79ab06968994b86 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd4f0ce7b881908714ab526d94fa1d |
completed | April 1, 2026, 4:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d100cc26248190baf12eb7f8aca74a |
completed | April 4, 2026, 12:15 p.m. |
Created at: March 30, 2026, 7:41 p.m.