Triple
T6069361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nico Blue Hoon |
E135239
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object |
Lisa Crouse
Lisa Crouse is a relative of Nico Blue Hoon, the daughter of late Blind Melon frontman Shannon Hoon.
|
E571037
|
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 Crouse | Statement: [Nico Blue Hoon, relative, Lisa Crouse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lisa Crouse Context triple: [Nico Blue Hoon, relative, Lisa Crouse]
-
A.
Lindsay Crouse
Lindsay Crouse is an American actress known for her work in film, television, and theater, including an Academy Award–nominated role in "Places in the Heart."
-
B.
Cindy Williams
Cindy Williams was an American actress best known for her role as Shirley Feeney on the hit television sitcom "Laverne & Shirley."
-
C.
Tamara Tunie
Tamara Tunie is an American actress and director best known for her long-running role as medical examiner Melinda Warner on the television series "Law & Order: Special Victims Unit."
-
D.
Shelley Long
Shelley Long is an American actress best known for her Emmy-winning role as Diane Chambers on the television sitcom "Cheers."
-
E.
Amy Brenneman
Amy Brenneman is an American actress and producer best known for her roles in television series such as "NYPD Blue," "Judging Amy," and "The Leftovers."
- 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 Crouse Triple: [Nico Blue Hoon, relative, Lisa Crouse]
Generated description
Lisa Crouse is a relative of Nico Blue Hoon, the daughter of late Blind Melon frontman Shannon Hoon.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lisa Crouse Target entity description: Lisa Crouse is a relative of Nico Blue Hoon, the daughter of late Blind Melon frontman Shannon Hoon.
-
A.
Lindsay Crouse
Lindsay Crouse is an American actress known for her work in film, television, and theater, including an Academy Award–nominated role in "Places in the Heart."
-
B.
Cindy Williams
Cindy Williams was an American actress best known for her role as Shirley Feeney on the hit television sitcom "Laverne & Shirley."
-
C.
Tamara Tunie
Tamara Tunie is an American actress and director best known for her long-running role as medical examiner Melinda Warner on the television series "Law & Order: Special Victims Unit."
-
D.
Shelley Long
Shelley Long is an American actress best known for her Emmy-winning role as Diane Chambers on the television sitcom "Cheers."
-
E.
Amy Brenneman
Amy Brenneman is an American actress and producer best known for her roles in television series such as "NYPD Blue," "Judging Amy," and "The Leftovers."
- 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_69c00879e8048190b690717d19c5bc03 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c0574157848190bb8e0972eb55a363 |
completed | March 22, 2026, 8:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1357be6fc819092845e1ffe988c16 |
completed | March 23, 2026, 12:43 p.m. |
| NEDg | Description generation | batch_69c137ec69488190bb7424280497799e |
completed | March 23, 2026, 12:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c1384c36f081908740945c7852bd73 |
completed | March 23, 2026, 12:55 p.m. |
Created at: March 22, 2026, 4:10 p.m.