Triple
T9375502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amnesiac |
E225636
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
I Might Be Wrong
"I Might Be Wrong" is a brooding, rhythm-driven song by the English rock band Radiohead, known for its looping guitar riff and electronic-influenced production.
|
E794558
|
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: I Might Be Wrong | Statement: [Amnesiac, hasPart, I Might Be Wrong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: I Might Be Wrong Context triple: [Amnesiac, hasPart, I Might Be Wrong]
-
A.
Maybe I’m Right
"Maybe I’m Right" is a song featured on Linda Ronstadt’s acclaimed 1977 album *Simple Dreams*.
-
B.
Some Might Say
"Some Might Say" is a 1995 Britpop anthem by the English rock band Oasis, known as one of their major hit singles and a defining track of their early career.
-
C.
Alright, I’m Wrong
"Alright, I’m Wrong" is a song featured on Dwight Yoakam’s country album "Tomorrow’s Sounds Today."
-
D.
I’m Wrong but You Ain’t Right
"I’m Wrong but You Ain’t Right" is a country song recorded by American artist Brantley Gilbert, featured on his album "Cocky."
-
E.
Got Me Wrong
"Got Me Wrong" is a song by the American rock band Alice in Chains, known for its acoustic style and appearance on the EP "Sap" and the "Clerks" film soundtrack.
- 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: I Might Be Wrong Triple: [Amnesiac, hasPart, I Might Be Wrong]
Generated description
"I Might Be Wrong" is a brooding, rhythm-driven song by the English rock band Radiohead, known for its looping guitar riff and electronic-influenced production.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: I Might Be Wrong Target entity description: "I Might Be Wrong" is a brooding, rhythm-driven song by the English rock band Radiohead, known for its looping guitar riff and electronic-influenced production.
-
A.
Maybe I’m Right
"Maybe I’m Right" is a song featured on Linda Ronstadt’s acclaimed 1977 album *Simple Dreams*.
-
B.
Some Might Say
"Some Might Say" is a 1995 Britpop anthem by the English rock band Oasis, known as one of their major hit singles and a defining track of their early career.
-
C.
Alright, I’m Wrong
"Alright, I’m Wrong" is a song featured on Dwight Yoakam’s country album "Tomorrow’s Sounds Today."
-
D.
I’m Wrong but You Ain’t Right
"I’m Wrong but You Ain’t Right" is a country song recorded by American artist Brantley Gilbert, featured on his album "Cocky."
-
E.
Got Me Wrong
"Got Me Wrong" is a song by the American rock band Alice in Chains, known for its acoustic style and appearance on the EP "Sap" and the "Clerks" film soundtrack.
- 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_69ca842d8ee88190aaaa639aa953185d |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd50aa3d008190836d0fde840da7d2 |
completed | April 1, 2026, 5:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0f4229c988190be23ccfae8b350ec |
completed | April 4, 2026, 11:21 a.m. |
| NEDg | Description generation | batch_69d0f4bf7da08190bc8a41090f2c0f1d |
completed | April 4, 2026, 11:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0f67de15081908c0ab98bc143fd7d |
completed | April 4, 2026, 11:31 a.m. |
Created at: March 30, 2026, 7:44 p.m.