Triple
T9367935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Available Light |
E225454
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | My Friend |
E795019
|
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 Friend | Statement: [Available Light, hasTrack, My Friend]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: My Friend Context triple: [Available Light, hasTrack, My Friend]
-
A.
My Friend
chosen
"My Friend" is a song featured on the EP "Available Light."
-
B.
My Friends
"My Friends" is a dark, introspective ballad from the musical *Sweeney Todd: The Demon Barber of Fleet Street*, in which Todd expresses his twisted affection for his razors.
-
C.
Friend of Mine
"Friend of Mine" is a track by The Notorious B.I.G. from his landmark 1994 debut hip-hop album *Ready to Die*.
-
D.
He's My Friend
"He's My Friend" is a musical number from the Broadway show *The Unsinkable Molly Brown*, reflecting the spirited, supportive relationships central to the story.
-
E.
You Are My Friend
"You Are My Friend" is a soulful 1978 R&B ballad by Patti LaBelle that has become one of her signature songs and a staple of her live performances.
- 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_69ca842cbddc819099d71ecec48cf9e5 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd507f9ed8819092967b204faa4408 |
completed | April 1, 2026, 5:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d100d68d28819082f366f3b5493cfb |
completed | April 4, 2026, 12:15 p.m. |
Created at: March 30, 2026, 7:43 p.m.