Triple
T17926838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Afterlove |
E448216
|
entity |
| Predicate | single |
P3283
|
FINISHED |
| Object | Don’t Give Me Those Eyes |
E1297127
|
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: Don’t Give Me Those Eyes | Statement: [The Afterlove, single, Don’t Give Me Those Eyes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Don’t Give Me Those Eyes Context triple: [The Afterlove, single, Don’t Give Me Those Eyes]
-
A.
Don’t Give Me Those Eyes
chosen
"Don’t Give Me Those Eyes" is a pop ballad by British singer-songwriter James Blunt, featured on his album *The Afterlove*.
-
B.
Take My Eyes
Take My Eyes is a critically acclaimed Spanish drama film that powerfully explores domestic abuse and its psychological impact on a married couple.
-
C.
On My Eyes
"On My Eyes" is a poetry collection by American poet Larry Eigner, associated with the Black Mountain and postmodernist traditions.
-
D.
Damn Your Eyes
"Damn Your Eyes" is a song featured on the album *Seven Year Itch* by Eurythmics.
-
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_69d8b9f79d14819095540856928f0e25 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4a54f29a88190b035d8473765bde5 |
completed | April 19, 2026, 9:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03290f30a88190814f4045eb31e639 |
completed | May 12, 2026, 1:20 p.m. |
Created at: April 10, 2026, 10:20 a.m.