Triple
T22607730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | War (album) |
E566605
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Red Light |
—
|
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: Red Light | Statement: [War (album), hasPart, Red Light]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Red Light Context triple: [War (album), hasPart, Red Light]
-
A.
Red Light
chosen
"Red Light" is a song by the American rock band War, known for their fusion of funk, rock, and Latin influences.
-
B.
Red Light
"Red Light" is a popular disco and soul song by American singer Linda Clifford, released in 1980 and featured on the soundtrack of the film *Fame*.
-
C.
Red Light
Red Light is a vivid, warm-colored illumination often used to create striking visual contrast and mood in artistic and optical displays.
-
D.
Red Light
"Red Light" is a song by the American rock band Bush from their 2011 comeback album *The Sea of Memories*.
-
E.
Red Lights
Red Lights is a 2012 psychological thriller film about paranormal investigation and skepticism, directed by Rodrigo Cortés and starring Cillian Murphy, Sigourney Weaver, and Robert De Niro.
- 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_69e245884860819081046ce07d5872c4 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f167e75658819089153eab7563540c |
completed | April 29, 2026, 2:07 a.m. |
Created at: April 17, 2026, 2:55 p.m.