Triple
T976282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ¡Tré! |
E21059
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
Amanda
"Amanda" is a song by the American punk rock band Green Day from their album ¡Tré!.
|
E152984
|
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: Amanda | Statement: [¡Tré!, hasTrack, Amanda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amanda Context triple: [¡Tré!, hasTrack, Amanda]
-
A.
Amanda
Amanda is the central character of the work "The Relapse," around whom the main events and conflicts of the story revolve.
-
B.
Amanda
Amanda is a central character in Margaret Atwood’s dystopian MaddAddam trilogy, known for her resilience and survival skills in a post-apocalyptic world.
-
C.
Amanda Lucas
Amanda Lucas is an American actress and mixed martial artist best known as the adopted daughter of filmmaker George Lucas and for her small roles in the Star Wars prequel films.
-
D.
Emily
Emily Warren Roebling was a pioneering 19th-century American engineer best known for her crucial role in overseeing the completion of the Brooklyn Bridge.
-
E.
Angela
"Angela" is a 1995 independent drama film written and directed by Rebecca Miller, exploring the inner world and imagination of a troubled young girl.
- 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: Amanda Triple: [¡Tré!, hasTrack, Amanda]
Generated description
"Amanda" is a song by the American punk rock band Green Day from their album ¡Tré!.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Amanda Target entity description: "Amanda" is a song by the American punk rock band Green Day from their album ¡Tré!.
-
A.
Amanda
Amanda is the central character of the work "The Relapse," around whom the main events and conflicts of the story revolve.
-
B.
Amanda
Amanda is a central character in Margaret Atwood’s dystopian MaddAddam trilogy, known for her resilience and survival skills in a post-apocalyptic world.
-
C.
Amanda Lucas
Amanda Lucas is an American actress and mixed martial artist best known as the adopted daughter of filmmaker George Lucas and for her small roles in the Star Wars prequel films.
-
D.
Emily
Emily Warren Roebling was a pioneering 19th-century American engineer best known for her crucial role in overseeing the completion of the Brooklyn Bridge.
-
E.
Angela
"Angela" is a 1995 independent drama film written and directed by Rebecca Miller, exploring the inner world and imagination of a troubled young girl.
- 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_69a493c2b62c8190b616351789ec47f8 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b46234c88190b2bfc9cafe59d7f7 |
completed | March 1, 2026, 9:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acbf0c16c0819090fc6618f0551c04 |
completed | March 8, 2026, 12:13 a.m. |
| NEDg | Description generation | batch_69acbfa308148190a27f5433abcb2a18 |
completed | March 8, 2026, 12:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69acc0912bf481909bd27111b4daaa0b |
completed | March 8, 2026, 12:19 a.m. |
Created at: March 1, 2026, 7:40 p.m.