Triple
T14306149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Linda Clifford |
E354700
|
entity |
| Predicate | notableSingle |
P3283
|
FINISHED |
| Object | Red Light |
E1090911
|
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: Red Light | Statement: [Linda Clifford, notableSingle, Red Light]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Red Light Context triple: [Linda Clifford, notableSingle, Red Light]
-
A.
Red Light
"Red Light" is a song by the American rock band War, known for their fusion of funk, rock, and Latin influences.
-
B.
Red Light
chosen
"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 Lights
"Red Lights" is a song featured on the debut EP "Sugar Symphony" by the American musical duo Chloe x Halle.
-
D.
Red Light, Green Light
Red Light, Green Light is a deadly children's game adaptation featured in the South Korean series "Squid Game," where players must move only when permitted and face lethal consequences if caught.
-
E.
Ultra Red
Ultra Red is a flavor variant of Monster Energy known for its bright red color and sweet, berry-like taste.
- 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_69d8278ed42c8190b9f882dcce611347 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de85b156b0819083f2bd319deed1b6 |
completed | April 14, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd4684e2648190b46328252ac9d51b |
completed | May 8, 2026, 2:12 a.m. |
Created at: April 10, 2026, 1:12 a.m.