Triple
T15798601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Make-Up |
E383043
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Heather Worley
Heather Worley is a musician best known as a member of the Washington, D.C.-based post-punk band The Make-Up.
|
E1177129
|
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: Heather Worley | Statement: [The Make-Up, hasMember, Heather Worley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heather Worley Context triple: [The Make-Up, hasMember, Heather Worley]
-
A.
Heaven Hart
Heaven Hart is the daughter of American comedian and actor Kevin Hart.
-
B.
Emily Sweeney
Emily Sweeney is a dermatologist who appears as Rajesh Koothrappali’s love interest on the television sitcom "The Big Bang Theory."
-
C.
Valerie Curtin
Valerie Curtin is an American actress and screenwriter known for her work in film and television, including co-writing the acclaimed legal drama "...And Justice for All."
-
D.
Amy Wren
Amy Wren is a British actress known for her television roles, including a prominent part in the comedy-drama series "Sirens."
-
E.
Melissa Womer
Melissa Womer is an American actress, producer, and former waitress best known for her marriage to comedian and actor Jim Carrey and for her work behind the scenes in television.
- 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: Heather Worley Triple: [The Make-Up, hasMember, Heather Worley]
Generated description
Heather Worley is a musician best known as a member of the Washington, D.C.-based post-punk band The Make-Up.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Heather Worley Target entity description: Heather Worley is a musician best known as a member of the Washington, D.C.-based post-punk band The Make-Up.
-
A.
Heaven Hart
Heaven Hart is the daughter of American comedian and actor Kevin Hart.
-
B.
Emily Sweeney
Emily Sweeney is a dermatologist who appears as Rajesh Koothrappali’s love interest on the television sitcom "The Big Bang Theory."
-
C.
Valerie Curtin
Valerie Curtin is an American actress and screenwriter known for her work in film and television, including co-writing the acclaimed legal drama "...And Justice for All."
-
D.
Amy Wren
Amy Wren is a British actress known for her television roles, including a prominent part in the comedy-drama series "Sirens."
-
E.
Melissa Womer
Melissa Womer is an American actress, producer, and former waitress best known for her marriage to comedian and actor Jim Carrey and for her work behind the scenes in television.
- 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_69d86da16e188190b89af699f1ed0bfe |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b4e00d348190bc98917c4098ec2f |
completed | April 16, 2026, 10:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff90b08ab48190892c700f5eb261d8 |
completed | May 9, 2026, 7:53 p.m. |
| NEDg | Description generation | batch_69ff936cbbc8819097958ac02673a474 |
completed | May 9, 2026, 8:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff93ed15ec8190b9361f7ad4c7e447 |
completed | May 9, 2026, 8:07 p.m. |
Created at: April 10, 2026, 4:48 a.m.