Triple
T8763885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Piano Man |
E208275
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Michael Stewart
Michael Stewart was a record producer best known for his work on Billy Joel’s breakthrough album "Piano Man."
|
E755496
|
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 Stewart | Statement: [Piano Man, producer, Michael Stewart]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Stewart Context triple: [Piano Man, producer, Michael Stewart]
-
A.
Michael Stewart
Michael Stewart was an American playwright and lyricist best known for writing the books and lyrics for hit Broadway musicals such as "Hello, Dolly!", "Bye Bye Birdie," and "Barnum."
-
B.
Michael Elliot
Michael Elliot is an American screenwriter best known for his work on romantic comedies and inspirational sports films, including the Queen Latifah–starring movie "Just Wright."
-
C.
Michael Blodgett
Michael Blodgett was an American actor, screenwriter, and producer known for his work in film and television from the late 1960s onward.
-
D.
Michael Henderson
Michael Henderson is an author best known for writing the book "Window Seat."
-
E.
Steve Hilliard
Steve Hilliard is a character in the romantic comedy film "The Opposite Sex."
- 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 Stewart Triple: [Piano Man, producer, Michael Stewart]
Generated description
Michael Stewart was a record producer best known for his work on Billy Joel’s breakthrough album "Piano Man."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michael Stewart Target entity description: Michael Stewart was a record producer best known for his work on Billy Joel’s breakthrough album "Piano Man."
-
A.
Michael Stewart
Michael Stewart was an American playwright and lyricist best known for writing the books and lyrics for hit Broadway musicals such as "Hello, Dolly!", "Bye Bye Birdie," and "Barnum."
-
B.
Michael Elliot
Michael Elliot is an American screenwriter best known for his work on romantic comedies and inspirational sports films, including the Queen Latifah–starring movie "Just Wright."
-
C.
Michael Blodgett
Michael Blodgett was an American actor, screenwriter, and producer known for his work in film and television from the late 1960s onward.
-
D.
Michael Henderson
Michael Henderson is an author best known for writing the book "Window Seat."
-
E.
Steve Hilliard
Steve Hilliard is a character in the romantic comedy film "The Opposite Sex."
- 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_69ca835df7e08190ac875664cca8f9ca |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5dfdef9881908a7f079d87e8e338 |
completed | March 31, 2026, 11:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf435d07148190b9e06d080f99a622 |
completed | April 3, 2026, 4:34 a.m. |
| NEDg | Description generation | batch_69cf46414bd48190babe01a32587c0b6 |
completed | April 3, 2026, 4:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf46b79aac8190a515e2fc94caf5c2 |
completed | April 3, 2026, 4:48 a.m. |
Created at: March 30, 2026, 6:40 p.m.