Triple
T11473267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Love It or List It |
E271961
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Hilary Farr |
E933157
|
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: Hilary Farr | Statement: [Love It or List It, castMember, Hilary Farr]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hilary Farr Context triple: [Love It or List It, castMember, Hilary Farr]
-
A.
Hilary Farr
chosen
Hilary Farr is a British-Canadian designer and television personality best known as the co-host and home renovation expert on the HGTV series "Love It or List It."
-
B.
Hilary Jeffkins
Hilary Jeffkins is a television producer best known for her work on the British nature documentary series "Wild Isles."
-
C.
Hilary Shor
Hilary Shor is a film producer best known for her work on acclaimed features such as the dystopian drama "Children of Men."
-
D.
Hilary Bailey
Hilary Bailey was a British writer and editor known for her science fiction, feminist literature, and involvement in the New Wave SF movement.
-
E.
Kim Porter
Kim Porter was an American model and actress best known for her longtime relationship with Sean "Diddy" Combs and her work in fashion and entertainment.
- 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_69d6aae0c8d881908a5a360c0be3242e |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8294b3f388190a587c358313f7260 |
completed | April 9, 2026, 10:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e713488c7c81908d97d249af770603 |
completed | April 21, 2026, 6:03 a.m. |
Created at: April 8, 2026, 9:35 p.m.