Triple

T11760031
Position Surface form Disambiguated ID Type / Status
Subject Grey Gardens (musical) E279630 entity
Predicate lyricist P1360 FINISHED
Object Michael Korie
Michael Korie is an American lyricist and librettist known for his work in musical theatre and opera, including collaborations on acclaimed shows such as Grey Gardens.
E943741 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: Michael Korie | Statement: [Grey Gardens (musical), lyricist, Michael Korie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Korie
Context triple: [Grey Gardens (musical), lyricist, Michael Korie]
  • A. Mika Guillory
    Mika Guillory is a music producer known for work on the pop/R&B album "Songs About Girls."
  • B. Michael Sembello
    Michael Sembello is an American singer, songwriter, and musician best known for his 1983 hit single "Maniac" from the film Flashdance.
  • C. Christian Corry
    Christian Corry is an American former U.S. Marine Corps helicopter pilot best known as the husband of legendary soccer player Mia Hamm.
  • D. Michael Krieger
    Michael Krieger is a fictional character appearing in the story of "Watch Over Me."
  • E. Mika Boorem
    Mika Boorem is an American actress known for her roles in films such as "Blue Crush," "Hearts in Atlantis," and "Along Came a Spider."
  • 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: Michael Korie
Triple: [Grey Gardens (musical), lyricist, Michael Korie]
Generated description
Michael Korie is an American lyricist and librettist known for his work in musical theatre and opera, including collaborations on acclaimed shows such as Grey Gardens.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Michael Korie
Target entity description: Michael Korie is an American lyricist and librettist known for his work in musical theatre and opera, including collaborations on acclaimed shows such as Grey Gardens.
  • A. Mika Guillory
    Mika Guillory is a music producer known for work on the pop/R&B album "Songs About Girls."
  • B. Michael Sembello
    Michael Sembello is an American singer, songwriter, and musician best known for his 1983 hit single "Maniac" from the film Flashdance.
  • C. Christian Corry
    Christian Corry is an American former U.S. Marine Corps helicopter pilot best known as the husband of legendary soccer player Mia Hamm.
  • D. Michael Krieger
    Michael Krieger is a fictional character appearing in the story of "Watch Over Me."
  • E. Mika Boorem
    Mika Boorem is an American actress known for her roles in films such as "Blue Crush," "Hearts in Atlantis," and "Along Came a Spider."
  • 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_69d6ab01038c819080714901502c84fc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a52386708190b744746a2db37495 completed April 10, 2026, 7:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69f01a3dfd1081908221c8061931282b completed April 28, 2026, 2:23 a.m.
NEDg Description generation batch_69f03196d1608190999c505e96ce6be7 completed April 28, 2026, 4:03 a.m.
NED2 Entity disambiguation (via description) batch_69f05af9ce808190bc6c1ec2cb9903f9 completed April 28, 2026, 7 a.m.
Created at: April 8, 2026, 9:41 p.m.