Triple
T23219876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alix Madigan |
E580856
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Clean |
—
|
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: Clean | Statement: [Alix Madigan, notableWork, Clean]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clean Context triple: [Alix Madigan, notableWork, Clean]
-
A.
Clean
chosen
Clean is a 2004 drama film by Olivier Assayas that follows a woman’s struggle with addiction and her attempt to rebuild her life and reconnect with her son.
-
B.
Clean
"Clean" is a reflective, emotionally resonant ballad by Taylor Swift that closes her 2014 album *1989*, symbolizing recovery and emotional renewal after heartbreak.
-
C.
Clean
"Clean" is a popular dancehall track by Jamaican artist Popcaan, known for its catchy hook and celebration of style and success.
-
D.
Clean, Clean
"Clean, Clean" is a lesser-known song by the British new wave band The Buggles, featured on their 1980 debut album "The Age of Plastic."
-
E.
Limpio
Limpio is a city in Paraguay located within the Central Department, known as part of the metropolitan area surrounding the capital, Asunción.
- 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_69e2460389408190be74f41d217799a9 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1916870148190853874e6cf26bbc7 |
completed | April 29, 2026, 5:04 a.m. |
Created at: April 17, 2026, 4:08 p.m.