Triple
T18896711
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Hedges |
E462226
|
entity |
| Predicate | album |
P1995
|
FINISHED |
| Object |
Torched
Torched is a posthumously released album by innovative acoustic guitarist Michael Hedges, showcasing his intricate fingerstyle technique and genre-blending compositions.
|
E1348348
|
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: Torched | Statement: [Michael Hedges, album, Torched]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Torched Context triple: [Michael Hedges, album, Torched]
-
A.
The Burn
The Burn is the nickname of Broxburn Athletic Football Club, a Scottish association football team based in Broxburn, West Lothian.
-
B.
Burnt
Burnt is a 2015 drama-comedy film about a talented but troubled chef seeking redemption in the high-pressure world of haute cuisine.
-
C.
Incinerate
"Incinerate" is a song by American alternative rock band Sonic Youth, featured on their 2006 album *Rather Ripped*.
-
D.
Burned
Burned is a mystery novel by American author Carol Higgins Clark, featuring her recurring sleuth Regan Reilly in a suspenseful, lighthearted whodunit.
-
E.
The Burning
The Burning is a 1981 American slasher film, notable for its summer-camp setting and early special effects work by makeup artist Tom Savini.
- 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: Torched Triple: [Michael Hedges, album, Torched]
Generated description
Torched is a posthumously released album by innovative acoustic guitarist Michael Hedges, showcasing his intricate fingerstyle technique and genre-blending compositions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Torched Target entity description: Torched is a posthumously released album by innovative acoustic guitarist Michael Hedges, showcasing his intricate fingerstyle technique and genre-blending compositions.
-
A.
The Burn
The Burn is the nickname of Broxburn Athletic Football Club, a Scottish association football team based in Broxburn, West Lothian.
-
B.
Burnt
Burnt is a 2015 drama-comedy film about a talented but troubled chef seeking redemption in the high-pressure world of haute cuisine.
-
C.
Incinerate
"Incinerate" is a song by American alternative rock band Sonic Youth, featured on their 2006 album *Rather Ripped*.
-
D.
Burned
Burned is a mystery novel by American author Carol Higgins Clark, featuring her recurring sleuth Regan Reilly in a suspenseful, lighthearted whodunit.
-
E.
The Burning
The Burning is a 1981 American slasher film, notable for its summer-camp setting and early special effects work by makeup artist Tom Savini.
- 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_69d8dcfd05bc819088903cca13cc2846 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c47f6c948190918ade08bb88f1fd |
completed | April 20, 2026, 6:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0582b91a448190b080d3c9c958f2b2 |
completed | May 14, 2026, 8:07 a.m. |
| NEDg | Description generation | batch_6a0588c516ec81908d6939f447e7f590 |
completed | May 14, 2026, 8:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0589612cbc819086bccc55658921e0 |
completed | May 14, 2026, 8:35 a.m. |
Created at: April 10, 2026, 11:58 a.m.