Triple
T4246385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heartland |
E95537
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Follow Me
"Follow Me" is a track from the Christian rock band Heartland, known for its melodic style and faith-centered lyrics.
|
E424087
|
NE FINISHED |
How this triple was built (4 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: [Heartland, hasPart, Follow Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Follow Me Context triple: [Heartland, hasPart, Follow Me]
-
A.
Follow Me
"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.
-
B.
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."
-
C.
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.
-
D.
I Will Follow
"I Will Follow" is a song by the Irish rock band U2, known as one of their early signature tracks.
-
E.
Why Me
"Why Me" is a popular Afrobeat song by Nigerian artist D'banj that helped cement his status as a leading figure in contemporary African pop music.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Follow Me Triple: [Heartland, hasPart, Follow Me]
Generated description
"Follow Me" is a track from the Christian rock band Heartland, known for its melodic style and faith-centered lyrics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Follow Me Target entity description: "Follow Me" is a track from the Christian rock band Heartland, known for its melodic style and faith-centered lyrics.
-
A.
Follow Me
"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.
-
B.
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."
-
C.
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.
-
D.
I Will Follow
"I Will Follow" is a song by the Irish rock band U2, known as one of their early signature tracks.
-
E.
Why Me
"Why Me" is a popular Afrobeat song by Nigerian artist D'banj that helped cement his status as a leading figure in contemporary African pop music.
- F. None of above. chosen
Provenance (5 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_69b3453d91548190b4d4ef8fe52aa2ac |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34e9b64ac81908dc44eaae6829b50 |
completed | March 12, 2026, 11:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5a87993648190b2969505cdf3c554 |
completed | March 14, 2026, 6:27 p.m. |
| NEDg | Description generation | batch_69b5a966f154819083f7864b154f7518 |
completed | March 14, 2026, 6:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5aa0ed71c81908d9bf530b4557984 |
completed | March 14, 2026, 6:33 p.m. |
Created at: March 12, 2026, 11:05 p.m.