Triple
T2031498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Song to a Seagull |
E44526
|
entity |
| Predicate | track |
P17929
|
FINISHED |
| Object |
Michael from Mountains
"Michael from Mountains" is a folk-inspired song by Joni Mitchell, featured on her 1968 debut album "Song to a Seagull."
|
E225459
|
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: Michael from Mountains | Statement: [Song to a Seagull, track, Michael from Mountains]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael from Mountains Context triple: [Song to a Seagull, track, Michael from Mountains]
-
A.
Micheal
Micheal is a given name, typically a variant spelling of the more common name Michael.
-
B.
Micah
Micah is a minor biblical figure in the Book of Judges known for establishing a private shrine and hiring a Levite as his personal priest, illustrating the religious disorder of the period.
-
C.
Trevor
Trevor is a masculine given name of English origin commonly used in the UK and other English-speaking countries.
-
D.
Michaël
Michaël is a given name, typically a French or Dutch variant of the name Michael, used for males in various European countries.
-
E.
Micah Lee
Micah Lee is a technologist, journalist, and digital security expert known for his work on encryption tools and secure communication for journalists and whistleblowers.
- 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: Michael from Mountains Triple: [Song to a Seagull, track, Michael from Mountains]
Generated description
"Michael from Mountains" is a folk-inspired song by Joni Mitchell, featured on her 1968 debut album "Song to a Seagull."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michael from Mountains Target entity description: "Michael from Mountains" is a folk-inspired song by Joni Mitchell, featured on her 1968 debut album "Song to a Seagull."
-
A.
Micheal
Micheal is a given name, typically a variant spelling of the more common name Michael.
-
B.
Micah
Micah is a minor biblical figure in the Book of Judges known for establishing a private shrine and hiring a Levite as his personal priest, illustrating the religious disorder of the period.
-
C.
Trevor
Trevor is a masculine given name of English origin commonly used in the UK and other English-speaking countries.
-
D.
Michaël
Michaël is a given name, typically a French or Dutch variant of the name Michael, used for males in various European countries.
-
E.
Micah Lee
Micah Lee is a technologist, journalist, and digital security expert known for his work on encryption tools and secure communication for journalists and whistleblowers.
- 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_69a889144f2481909932f0746a93023d |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb9313134819088133fb69b8f606f |
completed | March 7, 2026, 5:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae0b00d0a48190bcd1924df2786e41 |
completed | March 8, 2026, 11:49 p.m. |
| NEDg | Description generation | batch_69ae0b8cda248190b88b353c1768c3d7 |
completed | March 8, 2026, 11:51 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae0c330bcc8190a7f62f0f1f3f04a0 |
completed | March 8, 2026, 11:54 p.m. |
Created at: March 4, 2026, 7:38 p.m.