Triple
T22689839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ice Cold in Alex |
E561020
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object | Leighton Lucas |
—
|
NE NERFINISHED |
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: Leighton Lucas | Statement: [Ice Cold in Alex, musicBy, Leighton Lucas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leighton Lucas Context triple: [Ice Cold in Alex, musicBy, Leighton Lucas]
-
A.
Leighton Lucas
chosen
Leighton Lucas was a British composer and conductor best known for his film scores and concert works in the mid-20th century.
-
B.
Luke Stoughton
Luke Stoughton was an early settler and prominent local figure after whom the city of Stoughton, Wisconsin, was named.
-
C.
Jake Lacy
Jake Lacy is an American actor known for his roles in television series like "The Office" and "The White Lotus" as well as various film appearances.
-
D.
Darren Lighty
Darren Lighty is an American R&B and hip-hop songwriter and producer known for his work with prominent artists throughout the 1990s and 2000s.
-
E.
Tyler Lepley
Tyler Lepley is an American actor best known for his roles in television dramas and comedies, including prominent parts on shows like "Harlem" and "The Haves and the Have Nots."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2454d71b48190a1f80af9f82b6fcf |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1789a1fd08190bce5fa0babe695d3 |
completed | April 29, 2026, 3:18 a.m. |
Created at: April 17, 2026, 3:13 p.m.