Triple
T9344930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richard Callaghan |
E224863
|
entity |
| Predicate | coached |
P2169
|
FINISHED |
| Object | Ashley Wagner |
E729926
|
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: Ashley Wagner | Statement: [Richard Callaghan, coached, Ashley Wagner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ashley Wagner Context triple: [Richard Callaghan, coached, Ashley Wagner]
-
A.
Ashley Wagner
chosen
Ashley Wagner is an American figure skater best known for being a three-time U.S. national champion and the 2016 World silver medalist.
-
B.
Kara Lindsay
Kara Lindsay is an American stage actress best known for originating the role of Katherine Plumber in the Broadway production of the musical Newsies.
-
C.
Kristi Coleman
Kristi Coleman is a sports executive who serves as the president of the NFL’s Carolina Panthers.
-
D.
Abby Dahlkemper
Abby Dahlkemper is an American professional soccer defender and World Cup champion who has played prominently in the National Women's Soccer League and for the United States women's national team.
-
E.
Lauren Sweetser
Lauren Sweetser is an American actress best known for her supporting role in the critically acclaimed independent film "Winter’s Bone."
- 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_69d0e41ccdcc8190b2939716984b2c7b |
completed | April 4, 2026, 10:12 a.m. |
Created at: March 30, 2026, 7:41 p.m.