Triple
T14905535
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2010 Rose Bowl Game |
E360119
|
entity |
| Predicate | announcer |
P7529
|
FINISHED |
| Object |
Lisa Salters
Lisa Salters is an American sports journalist and sideline reporter best known for her long-running work with ESPN and ABC on NFL and NBA coverage.
|
E1138963
|
NE FINISHED |
How this triple was built (4 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: Lisa Salters | Statement: [2010 Rose Bowl Game, announcer, Lisa Salters]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lisa Salters Context triple: [2010 Rose Bowl Game, announcer, Lisa Salters]
-
A.
Lisa Greer
Lisa Greer is a notable individual recognized for her contributions and public profile associated with the surname Greer.
-
B.
Kelly Roberts
Kelly Roberts is a businesswoman best known for owning and overseeing the historic Mission Inn Hotel & Spa in Riverside, California.
-
C.
Lyn Peters
Lyn Peters was a British-born actress and model who appeared in American television series and films during the 1960s and 1970s.
-
D.
Vicki Sirotta
Vicki Sirotta is a film producer best known for her work on the horror-thriller movie "The Prophecy."
-
E.
Elaine Lively
Elaine Lively is an American talent manager and actress best known as the mother of actress Blake Lively.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Lisa Salters Triple: [2010 Rose Bowl Game, announcer, Lisa Salters]
Generated description
Lisa Salters is an American sports journalist and sideline reporter best known for her long-running work with ESPN and ABC on NFL and NBA coverage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lisa Salters Target entity description: Lisa Salters is an American sports journalist and sideline reporter best known for her long-running work with ESPN and ABC on NFL and NBA coverage.
-
A.
Lisa Greer
Lisa Greer is a notable individual recognized for her contributions and public profile associated with the surname Greer.
-
B.
Kelly Roberts
Kelly Roberts is a businesswoman best known for owning and overseeing the historic Mission Inn Hotel & Spa in Riverside, California.
-
C.
Lyn Peters
Lyn Peters was a British-born actress and model who appeared in American television series and films during the 1960s and 1970s.
-
D.
Vicki Sirotta
Vicki Sirotta is a film producer best known for her work on the horror-thriller movie "The Prophecy."
-
E.
Elaine Lively
Elaine Lively is an American talent manager and actress best known as the mother of actress Blake Lively.
- F. None of above. chosen
Provenance (5 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_69d827980cbc8190a0c569ae3940a1d9 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69ded60cd5588190b1efecc2b220da69 |
completed | April 15, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feb7d554808190a0a87d9f5e225d31 |
completed | May 9, 2026, 4:28 a.m. |
| NEDg | Description generation | batch_69feba8f952c819095598f6725f999c9 |
completed | May 9, 2026, 4:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69febaeca6748190a3dc6e2964611756 |
completed | May 9, 2026, 4:41 a.m. |
Created at: April 10, 2026, 2:12 a.m.