Triple
T4678413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mark Sanchez |
E103737
|
entity |
| Predicate | workedFor |
P1910
|
FINISHED |
| Object | ESPN |
E6069
|
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: ESPN | Statement: [Mark Sanchez, workedFor, ESPN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ESPN Context triple: [Mark Sanchez, workedFor, ESPN]
-
A.
ESPN
chosen
ESPN is a major American sports television network known for broadcasting a wide range of live sporting events, sports news, and analysis programs.
-
B.
ESPN3
ESPN3 is an online streaming sports network from ESPN that broadcasts a wide range of live and replayed sporting events over the internet.
-
C.
ESPN2
ESPN2 is an American cable sports television channel owned by ESPN that features a wide range of live sporting events, talk shows, and sports-related programming.
-
D.
ESPN.com
ESPN.com is the sports media giant’s primary website, offering news, scores, analysis, video, and live coverage across a wide range of sports.
-
E.
CBS Sports
CBS Sports is the sports division of the CBS television network, known for broadcasting major American sporting events including NFL games, college football and basketball, and golf tournaments.
- 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_69bd43dda32c8190938b37744ca270fc |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd636acffc819094e03c5bb53203d8 |
completed | March 20, 2026, 3:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be03a0d5c88190a9b40e1ca7d165ff |
completed | March 21, 2026, 2:34 a.m. |
Created at: March 20, 2026, 1:16 p.m.