Triple
T20440812
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anne Kopelson |
E501384
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Eraser |
—
|
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: Eraser | Statement: [Anne Kopelson, notableWork, Eraser]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eraser Context triple: [Anne Kopelson, notableWork, Eraser]
-
A.
Eraser
chosen
Eraser is a 1996 action thriller film starring Arnold Schwarzenegger as a U.S. Marshal who protects a key witness while uncovering a high-tech weapons conspiracy.
-
B.
The Eraser
The Eraser is the nickname of Brazilian mixed martial artist Paulo Costa, known for his powerful striking and knockout ability in the UFC middleweight division.
-
C.
The Eraser
The Eraser is Thom Yorke’s debut solo album, known for its minimalist electronic sound and introspective, politically tinged lyrics.
-
D.
Erased
Erased is a 2012 action thriller film starring Aaron Eckhart as a former CIA operative targeted for assassination along with his daughter.
-
E.
Erase Me
"Erase Me" is a hip-hop/rock fusion single by Kid Cudi featuring Kanye West, known for its catchy hook and themes of heartbreak and fame.
- 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_69e0b4ab3cfc8190ac9bf32e932316b1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e685f2e8888190a2e0d6b2bf6c905d |
completed | April 20, 2026, 8 p.m. |
Created at: April 16, 2026, 11:31 a.m.