Triple
T23207441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liv Lerner |
E580497
|
entity |
| Predicate | hasBestFriend |
P27082
|
FINISHED |
| Object | Emma Allan |
—
|
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: Emma Allan | Statement: [Liv Lerner, hasBestFriend, Emma Allan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emma Allan Context triple: [Liv Lerner, hasBestFriend, Emma Allan]
-
A.
Emma Allan
chosen
Emma Allan is one of the two best friends whose relationship is tested when their weddings are accidentally scheduled on the same day in the romantic comedy film "Bride Wars."
-
B.
Emily Willans
Emily Willans was the mother of British Prime Minister Herbert Henry Asquith and a member of the Victorian-era English middle class.
-
C.
Anne Wood
Anne Wood is a British television producer best known for creating the iconic preschool series "Teletubbies."
-
D.
Mary Bracegirdle
Mary Bracegirdle is a fictional character who appears in Aldous Huxley’s novel "Crome Yellow," known for her involvement in the satirical social world surrounding Henry Wimbush.
-
E.
Emily Davies
Emily Davies was a pioneering British feminist and educational reformer who played a key role in opening university education to women in the 19th century.
- 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_69e24602ae1481908aaa6bc7ca493867 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1907d8be08190a100d99efaff9964 |
completed | April 29, 2026, 5 a.m. |
Created at: April 17, 2026, 4:07 p.m.