Triple
T12361312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barnum |
E294742
|
entity |
| Predicate | lyricist |
P1360
|
FINISHED |
| Object | Michael Stewart |
E475564
|
NE FINISHED |
How this triple was built (2 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: [Barnum, lyricist, Michael Stewart]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Stewart Context triple: [Barnum, lyricist, Michael Stewart]
-
A.
Michael Stewart
chosen
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 Stewart
Michael Stewart was a record producer best known for his work on Billy Joel’s breakthrough album "Piano Man."
-
C.
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."
-
D.
Michael Blodgett
Michael Blodgett was an American actor, screenwriter, and producer known for his work in film and television from the late 1960s onward.
-
E.
Michael Henderson
Michael Henderson is an author best known for writing the book "Window Seat."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6ab6d8a4081908636601e69ddf262 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f91a1908190a8a4fa9da3b47933 |
completed | April 10, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62ab9ea4c81908313b11716ad7c43 |
completed | May 2, 2026, 4:47 p.m. |
Created at: April 8, 2026, 9:54 p.m.