Triple
T13166631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | In Your Eyes |
E312866
|
entity |
| Predicate | includedInAlbum |
P1925
|
FINISHED |
| Object | In Your Eyes |
E209046
|
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: In Your Eyes | Statement: [In Your Eyes, includedInAlbum, In Your Eyes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: In Your Eyes Context triple: [In Your Eyes, includedInAlbum, In Your Eyes]
-
A.
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.
-
B.
In Your Eyes
chosen
"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...*.
-
C.
In Your Eyes
"In Your Eyes" is a romantic ballad composed by Michael Masser, best known through George Benson’s soulful 1983 recording.
-
D.
Eyes on You
"Eyes on You" is a song by the American rock band Walls.
-
E.
My Lovin' Eyes
"My Lovin' Eyes" is a song by singer-songwriter Carole King from her 1974 album *Wrap Around Joy*.
- 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_69d806ac3ee081909b2fd27d060aa974 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c2c317881908cc715c97d915f77 |
completed | April 10, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6f5e22458819097dc8d6708df5284 |
completed | May 3, 2026, 7:14 a.m. |
Created at: April 9, 2026, 9:13 p.m.