Triple
T4263576
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ten Years of Gold |
E96162
|
entity |
| Predicate | includesWork |
P2011
|
FINISHED |
| Object | Follow Me |
E225602
|
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: Follow Me | Statement: [Ten Years of Gold, includesWork, Follow Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Follow Me Context triple: [Ten Years of Gold, includesWork, Follow Me]
-
A.
Follow Me
"Follow Me" is a track from the Christian rock band Heartland, known for its melodic style and faith-centered lyrics.
-
B.
Follow Me
chosen
"Follow Me" is a song by Paul McCartney from his 2005 studio album "Chaos and Creation in the Backyard," noted for its intimate, reflective tone and melodic simplicity.
-
C.
Follow Me Quietly
Follow Me Quietly is a 1949 film noir crime thriller about a relentless police hunt for a serial killer known as "The Judge."
-
D.
Another Me
Another Me is a psychological thriller film about a teenage girl haunted by a mysterious doppelgänger that blurs the line between reality and paranoia.
-
E.
I Will Follow
"I Will Follow" is a song by the Irish rock band U2, known as one of their early signature tracks.
- 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_69b3454095ac81909c2494f7ff294af1 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34fc821ec8190a7204aaf89d24a6b |
completed | March 12, 2026, 11:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5b78ffbf881909d59faae665abd36 |
completed | March 14, 2026, 7:31 p.m. |
Created at: March 12, 2026, 11:06 p.m.