Triple
T12234320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Departure |
E291552
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | I’m Cryin’ |
E599398
|
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: I’m Cryin’ | Statement: [Departure, hasTrack, I’m Cryin’]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: I’m Cryin’ Context triple: [Departure, hasTrack, I’m Cryin’]
-
A.
I’m Cryin’
chosen
"I’m Cryin’" is a blues-rock song by Stevie Ray Vaughan and Double Trouble from their influential 1983 debut album "Texas Flood."
-
B.
Cryin'
"Cryin'" is a 1993 power ballad by American rock band Aerosmith, known for its blend of hard rock and emotional lyrics and its iconic music video featuring Alicia Silverstone.
-
C.
Crying Out For Me
"Crying Out For Me" is an R&B song by Mario known for its emotional lyrics about a man wanting to rescue a woman from a troubled relationship.
-
D.
Cry Baby
"Cry Baby" is a powerful blues-rock song made famous by Janis Joplin, showcasing her raw, emotive vocal style and becoming one of her signature performances.
-
E.
Cry to Me
"Cry to Me" is a soulful rhythm and blues song best known for Solomon Burke’s 1962 recording, which became a classic of early soul music.
- 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_69d6ab668acc8190963ba424049d6aee |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91ca5a06481908c7c6b715b9f6713 |
completed | April 10, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60aaf7b348190865a6a1b6de51753 |
completed | May 2, 2026, 2:31 p.m. |
Created at: April 8, 2026, 9:51 p.m.