Triple
T21095737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waterloo Road |
E519760
|
entity |
| Predicate | hasMainCharacter |
P1183
|
FINISHED |
| Object | Chlo Grainger |
—
|
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: Chlo Grainger | Statement: [Waterloo Road, hasMainCharacter, Chlo Grainger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chlo Grainger Context triple: [Waterloo Road, hasMainCharacter, Chlo Grainger]
-
A.
Ellie Grainger
Ellie Grainger is an actress best known for her role in the critically acclaimed horror film "The Witch."
-
B.
Nick Glennie-Smith
Nick Glennie-Smith is a British film composer and conductor known for his work on high-profile action and adventure movie scores.
-
C.
Amelia Hewitt
Amelia Hewitt was a member of the prominent Hewitt family of New York, known primarily as a daughter of industrialist and politician Abram Stevens Hewitt.
-
D.
Holliday Grainger
chosen
Holliday Grainger is an English actress known for her work in film and television, including prominent roles in series like "Patrick Melrose" and "The Borgias" and films such as "Cinderella."
-
E.
Cosima Shaw
Cosima Shaw is a German-British actress known for her work in science fiction and drama, including prominent roles in television and film.
- 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_69e0b508d8dc81909be940dafe36c8f7 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e71b5845f88190a16f3df157f0906c |
completed | April 21, 2026, 6:38 a.m. |
Created at: April 16, 2026, 2:52 p.m.