Triple
T3871651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NASCAR on Fox |
E92397
|
entity |
| Predicate | presenter |
P83
|
FINISHED |
| Object | Chris Myers |
E54590
|
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: Chris Myers | Statement: [NASCAR on Fox, presenter, Chris Myers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chris Myers Context triple: [NASCAR on Fox, presenter, Chris Myers]
-
A.
Chris Myers
chosen
Chris Myers is an American sportscaster known for his work as a sideline reporter and studio host on major NFL and other sports broadcasts.
-
B.
Chris Myers
Chris Myers is the American journalist protagonist in the 2016 historical drama film "The Promise," whose experiences intertwine with the Armenian Genocide and a complex love triangle.
-
C.
Kit Foster
Kit Foster is one of the children of acclaimed American actress and filmmaker Jodie Foster.
-
D.
Jeremy Potts
Jeremy Potts is one of the adventurous children in the classic musical film "Chitty Chitty Bang Bang," known for his role in the fantastical journey with their eccentric inventor father and magical car.
-
E.
Mark Curry
Mark Curry is an American stand-up comedian and actor best known for starring in the 1990s sitcom "Hangin' with Mr. Cooper."
- 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_69aed967448c819086c4b358d37b25aa |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeec5691148190b469af0bee9154db |
completed | March 9, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b51249f1ec8190a1f6cc191bc94421 |
completed | March 14, 2026, 7:46 a.m. |
Created at: March 9, 2026, 3:20 p.m.