Triple
T9344931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richard Callaghan |
E224863
|
entity |
| Predicate | coached |
P2169
|
FINISHED |
| Object | Gracie Gold |
E267367
|
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: Gracie Gold | Statement: [Richard Callaghan, coached, Gracie Gold]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gracie Gold Context triple: [Richard Callaghan, coached, Gracie Gold]
-
A.
Gracie Gold
chosen
Gracie Gold is an American figure skater known for being a U.S. national champion and competing in the 2014 Winter Olympics.
-
B.
Kimmie Meissner
Kimmie Meissner is an American figure skater who won the 2006 World Championship and is known for her powerful jumping ability and technical skill.
-
C.
Jamie Linden
Jamie Linden is an American screenwriter and film director known for writing movies such as "We Are Marshall," "Dear John," and the financial thriller "Money Monster."
-
D.
Tiler Peck
Tiler Peck is an acclaimed American ballet dancer and principal with New York City Ballet, renowned for her musicality, speed, and versatility in both classical and contemporary roles.
-
E.
Cailey Fleming
Cailey Fleming is an American actress best known for her role as young Judith Grimes on the television series "The Walking Dead."
- 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.