Triple
T20119544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Setting the Woods on Fire |
E490564
|
entity |
| Predicate | hasMusicalArtist |
P9648
|
FINISHED |
| Object | Michael Wells |
—
|
NE NERFINISHED |
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: Michael Wells | Statement: [Setting the Woods on Fire, hasMusicalArtist, Michael Wells]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Wells Context triple: [Setting the Woods on Fire, hasMusicalArtist, Michael Wells]
-
A.
Michael Wells
Michael Wells is a musician best known as a member of the American alternative country/rock band The Walkabouts.
-
B.
Michael Wells
Michael Wells is an actor known for his role in the film "Scavenger."
-
C.
Michael Wells
chosen
Michael Wells is a musician known for contributing to the song "Setting the Woods on Fire."
-
D.
Michael Wells
Michael Wells is best known as the husband of acclaimed British actress Susannah York.
-
E.
Jeff Wells
Jeff Wells is the adventurous young protagonist of the science fiction series "The Norby Chronicles," known for his escapades with the quirky robot Norby.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da62636cc08190982cc71733a17b8d |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6673cfaac81909d6216f3e37c2439 |
completed | April 20, 2026, 5:49 p.m. |
Created at: April 11, 2026, 11:30 p.m.