Triple
T21556267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Based on a True Story... |
E531899
|
entity |
| Predicate | containsTrack |
P3284
|
FINISHED |
| Object | Neon Light |
E528037
|
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: Neon Light | Statement: [Based on a True Story..., containsTrack, Neon Light]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Neon Light Context triple: [Based on a True Story..., containsTrack, Neon Light]
-
A.
Neon Light
chosen
"Neon Light" is a country song by American singer Blake Shelton, released as a single from his 2014 album "Bringing Back the Sunshine."
-
B.
Neon Lights
"Neon Lights" is a song best known as the B-side to U2's 1983 single "Vertigo."
-
C.
Neon
Neon is an American independent film distribution company known for releasing critically acclaimed and award-winning arthouse and genre films.
-
D.
Neon
Neon is a fast-paced Duelist agent in the game Valorant known for her high-mobility, electricity-themed abilities that enable rapid flanking and aggressive plays.
-
E.
Neon
Neon is an ancient town in central Greece, near Mount Parnassus, known for its role in classical Greek history and warfare.
- 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_69e0c460232c81908de2c3819d17c00e |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eed2df48c88190894b6b08a5cb6390 |
completed | April 27, 2026, 3:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09eee7651081909a7d940d6fa38f4a |
completed | May 17, 2026, 4:37 p.m. |
Created at: April 16, 2026, 6:29 p.m.