Triple
T13969973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Villanelle |
E336031
|
entity |
| Predicate | relationshipWith |
P10260
|
FINISHED |
| Object | Eve Polastri |
E1117701
|
NE FINISHED |
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: Eve Polastri | Statement: [Villanelle, relationshipWith, Eve Polastri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eve Polastri Context triple: [Villanelle, relationshipWith, Eve Polastri]
-
A.
Eve Polastri
chosen
Eve Polastri is a British intelligence investigator whose obsessive cat-and-mouse pursuit of a skilled assassin drives the plot of the television series "Killing Eve."
-
B.
Marisa Polvino
Marisa Polvino is a film producer known for her work on major feature films, including the 2014 science fiction movie "Transcendence."
-
C.
Eve Trowbridge
Eve Trowbridge is the resourceful female protagonist in the 1932 adventure-horror film "The Most Dangerous Game," who becomes entangled in a deadly hunt on a remote island.
-
D.
Lisa Mordente
Lisa Mordente is an American actress, singer, dancer, and choreographer known for her work on Broadway and in film and television.
-
E.
Lisa Vultaggio
Lisa Vultaggio is a Canadian actress best known for her role as Hannah Scott on the soap opera "General Hospital."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d81c61f3508190aaf2ca0dc0002c59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e8daeac8190aadd4b3b60222482 |
completed | April 14, 2026, 12:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe0cce10c88190bf25404fc4c75bbf |
completed | May 8, 2026, 4:18 p.m. |
Created at: April 9, 2026, 10:18 p.m.