Triple
T18933291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Courtney Gains |
E463170
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Colors |
—
|
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: Colors | Statement: [Courtney Gains, notableWork, Colors]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Colors Context triple: [Courtney Gains, notableWork, Colors]
-
A.
Colors
Colors is a 2017 studio album by American musician Beck that showcases a bright, pop-oriented sound and marked a stylistic shift from his earlier, more introspective work.
-
B.
Colors
chosen
"Colors" is a 1988 crime drama film directed by Dennis Hopper that explores gang violence in Los Angeles, featuring Robert Duvall as a veteran police officer partnered with a younger cop.
-
C.
Colors
"Colors" is a 2016 electropop song by American singer Halsey, known for its vivid lyrical imagery and exploration of a relationship’s emotional decay.
-
D.
Colors
Colors is a song by One Direction from their debut studio album "Up All Night."
-
E.
Colour
Colour is the debut studio album by British singer-songwriter and producer Uzoechi Emenike, known professionally as MNEK, showcasing his blend of pop, R&B, and electronic music.
- 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_69d8dcfec90481909e926be9767e5779 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d3e498308190bd1594cca841199c |
completed | April 20, 2026, 7:21 a.m. |
Created at: April 10, 2026, 11:59 a.m.