Triple
T17444436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Strange Invaders |
E424743
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Fiona Lewis |
—
|
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: Fiona Lewis | Statement: [Strange Invaders, stars, Fiona Lewis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fiona Lewis Context triple: [Strange Invaders, stars, Fiona Lewis]
-
A.
Fiona Lewis
chosen
Fiona Lewis is a British actress and writer best known for her roles in 1970s horror and thriller films.
-
B.
Fiona Caldwell
Fiona Caldwell is a television executive producer known for her work on the documentary travel series "Great American Railroad Journeys."
-
C.
Fiona Hartnett
Fiona Hartnett is a notable individual recognized for achievements significant enough to be distinctly associated with the Hartnett surname.
-
D.
Fiona Hall
Fiona Hall is a prominent Australian contemporary artist renowned for her intricate sculptures, installations, and mixed-media works that explore themes of ecology, politics, and global consumerism.
-
E.
Fiona Bruce
Fiona Bruce is a British television journalist and newsreader best known as a prominent BBC presenter on programmes including Question Time and Antiques Roadshow.
- 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_69d889db0ba481908402409af3b37917 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e44ffa2d84819086474649eba1065c |
completed | April 19, 2026, 3:46 a.m. |
Created at: April 10, 2026, 5:47 a.m.