Triple
T15408622
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teflon Don |
E368526
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Tears of Joy |
E1058325
|
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: Tears of Joy | Statement: [Teflon Don, hasPart, Tears of Joy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tears of Joy Context triple: [Teflon Don, hasPart, Tears of Joy]
-
A.
Tears of Joy
"Tears of Joy" is a song featured on the country album "Western Wall: The Tucson Sessions" by Linda Ronstadt and Emmylou Harris.
-
B.
Tears of Joy
chosen
"Tears of Joy" is a song featured on the album "Fruit at the Bottom" by the musical duo Wendy & Lisa.
-
C.
Tears
"Tears" is a 1937 jazz composition co-written and recorded by pioneering gypsy jazz guitarist Django Reinhardt, known for its lyrical melody and prominent place in his repertoire.
-
D.
The Joy
The Joy is a Nigerian gospel music collective known for its vibrant, contemporary worship sound and collaborations within the GOOD Fridays release series.
-
E.
A Tear to a Smile
A Tear to a Smile is a 1975 jazz-funk and soul album by vibraphonist Roy Ayers, showcasing his smooth grooves, lush arrangements, and early fusion of jazz with R&B influences.
- 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_69d85a16c68c819099c1b547fbc87b32 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03ea4f13c819085d26fd32b5dca6f |
completed | April 16, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff135bcb5c8190a1f43c6bb6a0e53c |
completed | May 9, 2026, 10:58 a.m. |
Created at: April 10, 2026, 3:20 a.m.