Triple
T15900797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Waitresses |
E385582
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Kevin Tooley
Kevin Tooley is a musician best known as a member of the new wave band The Waitresses.
|
E1182990
|
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: Kevin Tooley | Statement: [The Waitresses, hasMember, Kevin Tooley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kevin Tooley Context triple: [The Waitresses, hasMember, Kevin Tooley]
-
A.
Dave Tozer
Dave Tozer is a Grammy-winning American record producer, songwriter, and musician best known for his extensive work with John Legend and contributions to contemporary R&B and soul music.
-
B.
Joe Tonahill
Joe Tonahill was an American defense attorney best known for serving on the legal team that defended Jack Ruby after Ruby killed Lee Harvey Oswald.
-
C.
Phil Donnelly
Phil Donnelly is a supporting character in the legal thriller film "Dark Waters," involved in the unfolding investigation into corporate environmental wrongdoing.
-
D.
Steve Judd
Steve Judd is the aging, principled former lawman at the heart of the Western film "Ride the High Country," whose moral integrity drives the story’s central conflict.
-
E.
Mike Talman
Mike Talman is a con man who becomes entangled in a tense scheme involving a blind woman and hidden heroin in the thriller "Wait Until Dark."
- 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: Kevin Tooley Triple: [The Waitresses, hasMember, Kevin Tooley]
Generated description
Kevin Tooley is a musician best known as a member of the new wave band The Waitresses.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kevin Tooley Target entity description: Kevin Tooley is a musician best known as a member of the new wave band The Waitresses.
-
A.
Dave Tozer
Dave Tozer is a Grammy-winning American record producer, songwriter, and musician best known for his extensive work with John Legend and contributions to contemporary R&B and soul music.
-
B.
Joe Tonahill
Joe Tonahill was an American defense attorney best known for serving on the legal team that defended Jack Ruby after Ruby killed Lee Harvey Oswald.
-
C.
Phil Donnelly
Phil Donnelly is a supporting character in the legal thriller film "Dark Waters," involved in the unfolding investigation into corporate environmental wrongdoing.
-
D.
Steve Judd
Steve Judd is the aging, principled former lawman at the heart of the Western film "Ride the High Country," whose moral integrity drives the story’s central conflict.
-
E.
Mike Talman
Mike Talman is a con man who becomes entangled in a tense scheme involving a blind woman and hidden heroin in the thriller "Wait Until Dark."
- 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_69d86da5b800819083a31be937d738b0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1563cd2f081909404d724ecc8785a |
completed | April 16, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb04f3ea08190b5581768770677e8 |
completed | May 9, 2026, 10:08 p.m. |
| NEDg | Description generation | batch_69ffb13fdb6c819091c3ee5c1f199031 |
completed | May 9, 2026, 10:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffb208aef881909b3a00e0015c27df |
completed | May 9, 2026, 10:15 p.m. |
Created at: April 10, 2026, 4:51 a.m.