Triple
T13333798
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NBA Inside Stuff |
E317637
|
entity |
| Predicate | presenter |
P83
|
FINISHED |
| Object |
Kristen Ledlow
Kristen Ledlow is an American sports broadcaster best known for her work as an NBA television host and reporter.
|
E1051008
|
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: Kristen Ledlow | Statement: [NBA Inside Stuff, presenter, Kristen Ledlow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kristen Ledlow Context triple: [NBA Inside Stuff, presenter, Kristen Ledlow]
-
A.
Kirsten Lees
Kirsten Lees is a prominent architect and partner at Grimshaw Architects, known for her leadership on major cultural and public projects.
-
B.
Kristen Maloney
Kristen Maloney is an American artistic gymnast and Olympic medalist who competed for the U.S. national team and later starred as a collegiate gymnast for UCLA.
-
C.
Kristen Ruhlin
Kristen Ruhlin is an American actress and writer best known for her work in independent films and comedy projects.
-
D.
Kirsten Smith
Kirsten Smith is an American screenwriter and producer best known for co-writing popular teen and romantic comedies such as "Legally Blonde," "10 Things I Hate About You," and "Ella Enchanted."
-
E.
Kristi Arians
Kristi Arians is the daughter of former NFL head coach Bruce Arians.
- 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: Kristen Ledlow Triple: [NBA Inside Stuff, presenter, Kristen Ledlow]
Generated description
Kristen Ledlow is an American sports broadcaster best known for her work as an NBA television host and reporter.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kristen Ledlow Target entity description: Kristen Ledlow is an American sports broadcaster best known for her work as an NBA television host and reporter.
-
A.
Kirsten Lees
Kirsten Lees is a prominent architect and partner at Grimshaw Architects, known for her leadership on major cultural and public projects.
-
B.
Kristen Maloney
Kristen Maloney is an American artistic gymnast and Olympic medalist who competed for the U.S. national team and later starred as a collegiate gymnast for UCLA.
-
C.
Kristen Ruhlin
Kristen Ruhlin is an American actress and writer best known for her work in independent films and comedy projects.
-
D.
Kirsten Smith
Kirsten Smith is an American screenwriter and producer best known for co-writing popular teen and romantic comedies such as "Legally Blonde," "10 Things I Hate About You," and "Ella Enchanted."
-
E.
Kristi Arians
Kristi Arians is the daughter of former NFL head coach Bruce Arians.
- 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_69d806b4d62c81908d4ced1665414be5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99cff44e08190b9583baf0b626e42 |
completed | April 11, 2026, 12:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f77f7a13508190bbab6eb68fb52a18 |
completed | May 3, 2026, 5:01 p.m. |
| NEDg | Description generation | batch_69f78058d4c88190be75e0a38cdc20da |
completed | May 3, 2026, 5:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f78157b9cc8190a1855cb9715aa7d5 |
completed | May 3, 2026, 5:09 p.m. |
Created at: April 9, 2026, 9:30 p.m.