Triple
T15033541
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lily Cole |
E378418
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Lily Cole |
E378418
|
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: Lily Cole | Statement: [Lily Cole, name, Lily Cole]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lily Cole Context triple: [Lily Cole, name, Lily Cole]
-
A.
Lily Cole
chosen
Lily Cole is an English model and actress known for her distinctive look and roles in films such as "The Imaginarium of Doctor Parnassus."
-
B.
Rosie Huntington-Whiteley
Rosie Huntington-Whiteley is an English model and actress known for her work with Victoria’s Secret and for film roles including her appearance in Mad Max: Fury Road.
-
C.
Lily Aldridge
Lily Aldridge is an American fashion model best known for her work as a Victoria’s Secret Angel and appearances in major magazines such as the Sports Illustrated Swimsuit Issue.
-
D.
Lily-Rose Purcell
Lily-Rose Purcell is one of the children of actor Dominic Purcell, known for his role in the television series "Prison Break."
-
E.
Lauren London
Lauren London is an American actress and model known for her roles in film and television, including notable performances in projects like "ATL" and "The Game."
- 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_69d85cd46b2c819090d054c27787f677 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7e3a7c8819081f26c2435c1bcb2 |
completed | April 15, 2026, 12:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9dddd0208190b2dac7a078de2931 |
completed | May 9, 2026, 2:37 a.m. |
Created at: April 10, 2026, 2:59 a.m.