Triple
T15047816
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | White House Farm |
E379275
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Alexa Davies |
E935661
|
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: Alexa Davies | Statement: [White House Farm, stars, Alexa Davies]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alexa Davies Context triple: [White House Farm, stars, Alexa Davies]
-
A.
Alexa Davies
chosen
Alexa Davies is a Welsh actress known for her roles in film and television, including appearing in the musical sequel "Mamma Mia! Here We Go Again."
-
B.
Alexandra Wise
Alexandra Wise is known as the spouse of British video game composer David Wise.
-
C.
Alexa Davalos
Alexa Davalos is an American actress known for her leading role as Juliana Crain in the television adaptation of Philip K. Dick's "The Man in the High Castle," as well as performances in films like "The Chronicles of Riddick" and "Defiance."
-
D.
Alexa Havins
Alexa Havins is an American actress best known for her work in television, including a starring role in the science fiction series "Torchwood."
-
E.
Alexis Rose
Alexis Rose is a stylish, formerly wealthy socialite known for her dramatic flair, quirky catchphrases, and surprising personal growth throughout the comedy series Schitt's Creek.
- 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_69d85cd64d108190853797a95c11cc45 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69deda8e64e48190873104a02a676ff3 |
completed | April 15, 2026, 12:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff1a61136081908198806944c81808 |
completed | May 9, 2026, 11:28 a.m. |
Created at: April 10, 2026, 3 a.m.