Triple
T1564593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rebecca Lobo |
E33402
|
entity |
| Predicate | employer |
P7
|
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: [Rebecca Lobo, employer, ESPN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ESPN Context triple: [Rebecca Lobo, employer, 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.
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.
-
C.
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.
-
D.
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.
-
E.
Turner Sports
Turner Sports is a major American sports media division known for producing and broadcasting high-profile events across networks like TNT, TBS, and truTV.
- 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_69a885f11b048190935025a035302715 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa621242188190a7e1deeada7688d8 |
completed | March 6, 2026, 5:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad37151ad48190a8c25899b488c68b |
completed | March 8, 2026, 8:45 a.m. |
Created at: March 4, 2026, 7:27 p.m.