Triple
T2835148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Three Amigos |
E62330
|
entity |
| Predicate | composer |
P1361
|
FINISHED |
| Object | Randy Newman |
E39396
|
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: Randy Newman | Statement: [Three Amigos, composer, Randy Newman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Randy Newman Context triple: [Three Amigos, composer, Randy Newman]
-
A.
Randy Newman
chosen
Randy Newman is an American singer-songwriter, composer, and pianist renowned for his satirical pop songs and acclaimed film scores, including work on numerous Pixar movies.
-
B.
Carole Bayer Sager
Carole Bayer Sager is an American songwriter and lyricist renowned for numerous pop and film hits, including "That's What Friends Are For" and "Arthur's Theme (Best That You Can Do)."
-
C.
Hugh Martin
Hugh Martin was an American composer and songwriter best known for his work on classic Hollywood musicals, including writing enduring standards for films like "Meet Me in St. Louis."
-
D.
Jud Ashman
Jud Ashman is an American local politician who serves as the mayor of Gaithersburg, Maryland.
-
E.
Johnny Marks
Johnny Marks was an American songwriter best known for composing classic Christmas songs, including "Rudolph the Red-Nosed Reindeer."
- 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_69ab4c3c39188190955b9c49d98463d8 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdeea881481908d759c72798a50fb |
completed | March 7, 2026, 8:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b01d71c214819086422d2b16b1f49d |
completed | March 10, 2026, 1:32 p.m. |
Created at: March 6, 2026, 10:01 p.m.