Triple
T13054884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ghost (Marvel Cinematic Universe) |
E327543
|
entity |
| Predicate | realName |
P9233
|
FINISHED |
| Object | Ava Starr |
E1030657
|
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: Ava Starr | Statement: [Ghost (Marvel Cinematic Universe), realName, Ava Starr]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ava Starr Context triple: [Ghost (Marvel Cinematic Universe), realName, Ava Starr]
-
A.
Ava Starr
chosen
Ava Starr is the Marvel Cinematic Universe character known as Ghost, a quantumly unstable antagonist-turned-antihero who appears in "Ant-Man and the Wasp."
-
B.
Gloria DeHaven
Gloria DeHaven was an American actress and singer best known for her roles in classic Hollywood musicals of the 1940s and 1950s.
-
C.
Betty Garrett
Betty Garrett was an American actress, comedian, singer, and dancer known for her energetic performances in mid-20th-century Hollywood musicals and later in popular television sitcoms.
-
D.
Alice Faye
Alice Faye was an American actress and singer best known as a 1930s–1940s Hollywood musical star at 20th Century Fox.
-
E.
Barbara Rush
Barbara Rush is an American actress best known for her work in mid-20th-century film and television, including prominent roles in dramas and science fiction classics.
- 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_69d8076e64308190904fb5c93517c901 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d980bb52d88190b5be12000e27a2c9 |
completed | April 10, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f716baf00881909a1a11d36cdb8d42 |
completed | May 3, 2026, 9:34 a.m. |
Created at: April 9, 2026, 8:58 p.m.