Triple
T21556266
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Based on a True Story... |
E531899
|
entity |
| Predicate | containsTrack |
P3284
|
FINISHED |
| Object | My Eyes |
E1482888
|
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: My Eyes | Statement: [Based on a True Story..., containsTrack, My Eyes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: My Eyes Context triple: [Based on a True Story..., containsTrack, My Eyes]
-
A.
My Eyes
chosen
"My Eyes" is a song by the American rock band Neon Trees, known for its synth-driven pop-rock sound and emotive lyrics.
-
B.
On My Eyes
"On My Eyes" is a poetry collection by American poet Larry Eigner, associated with the Black Mountain and postmodernist traditions.
-
C.
In Your Eyes
In Your Eyes is a 2014 romantic science-fiction film written by Joss Whedon about two strangers who share a mysterious telepathic bond.
-
D.
In Your Eyes
"In Your Eyes" is a renowned 1986 pop-rock ballad by Peter Gabriel, celebrated for its emotional depth and iconic use in the film *Say Anything...*.
-
E.
In Your Eyes
"In Your Eyes" is a romantic ballad composed by Michael Masser, best known through George Benson’s soulful 1983 recording.
- 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_6a09f66c46e0819093cfdc3ed879ae8c |
completed | May 17, 2026, 5:10 p.m. |
Created at: April 16, 2026, 6:29 p.m.