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.