Triple
T17698104
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ray Ferrier |
E441223
|
entity |
| Predicate | parentOf |
P120
|
FINISHED |
| Object | Rachel Ferrier |
—
|
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: Rachel Ferrier | Statement: [Ray Ferrier, parentOf, Rachel Ferrier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rachel Ferrier Context triple: [Ray Ferrier, parentOf, Rachel Ferrier]
-
A.
Rachel Ferrier
chosen
Rachel Ferrier is the young daughter of Tom Cruise’s character in the 2005 science fiction film "War of the Worlds," whose safety and emotional turmoil drive much of the movie’s tension and drama.
-
B.
Julie Ferrier
Julie Ferrier is a French actress and comedian known for her roles in contemporary French cinema and television, often blending physical comedy with quirky, offbeat characters.
-
C.
Ruby Frewen
Ruby Frewen was the wife of prominent British lawyer and Unionist politician Edward Carson, later Lord Carson.
-
D.
Emily Lloyd
Emily Lloyd is a British actress best known for her acclaimed breakthrough role in the 1987 film "Wish You Were Here."
-
E.
Laura Bristow
Laura Bristow is the assumed American identity of Russian spy Irina Derevko in the television series "Alias."
- 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_69d8b9ea20b48190ace88bb46b01e6a9 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47158be9c8190bbf4e5162ff74ad2 |
completed | April 19, 2026, 6:08 a.m. |
Created at: April 10, 2026, 10:04 a.m.