Triple
T16389510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Susan Alexandra Weaver |
E398012
|
entity |
| Predicate | notableCharacter |
P1481
|
FINISHED |
| Object | Ellen Ripley |
E309276
|
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: Ellen Ripley | Statement: [Susan Alexandra Weaver, notableCharacter, Ellen Ripley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ellen Ripley Context triple: [Susan Alexandra Weaver, notableCharacter, Ellen Ripley]
-
A.
Ellen Ripley
chosen
Ellen Ripley is the resilient and resourceful protagonist of the Alien film series, known for battling xenomorphs and becoming an iconic figure in science fiction cinema.
-
B.
Ripley
Ripley is a village and civil parish in Surrey, England, known for its historic high street, village green, and traditional English character.
-
C.
Ripley
Ripley is a television miniseries adaptation of Patricia Highsmith’s Tom Ripley novels, starring Andrew Scott as the charismatic con artist Tom Ripley.
-
D.
Ripley
Ripley is a surname most notably associated with various public figures in entertainment, sports, and literature.
-
E.
Ripley
Ripley is a small village in Brown County, Ohio, known historically as a key stop on the Underground Railroad along the Ohio River.
- 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_69d87f2880b48190ae1a9673a3bbef80 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e326414f44819093ebc11f1b63444c |
completed | April 18, 2026, 6:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00357167b881909a5182537ef973ce |
completed | May 10, 2026, 7:36 a.m. |
Created at: April 10, 2026, 5:08 a.m.