Triple
T11983625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lydia Deetz |
E285219
|
entity |
| Predicate | friendOf |
P8712
|
FINISHED |
| Object | Barbara Maitland |
E285218
|
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: Barbara Maitland | Statement: [Lydia Deetz, friendOf, Barbara Maitland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barbara Maitland Context triple: [Lydia Deetz, friendOf, Barbara Maitland]
-
A.
Barbara Maitland
chosen
Barbara Maitland is one of the main ghostly protagonists in Tim Burton’s film "Beetlejuice," a recently deceased woman trying to reclaim her home from unwelcome living occupants.
-
B.
Mary Stewart
Mary Stewart was a medieval Scottish noblewoman and daughter of Robert Stewart, Duke of Albany, who became connected to European aristocracy through her marriages.
-
C.
Elizabeth Jane Howard
Elizabeth Jane Howard was an English novelist best known for her critically acclaimed family saga, the Cazalet Chronicles.
-
D.
Christianna Brand
Christianna Brand was a British crime and children's author best known for her "Nurse Matilda" stories, which inspired the film "Nanny McPhee."
-
E.
Tasha Bertram
Tasha Bertram is a British woman known primarily as the mother of actor Thomas Brodie-Sangster.
- 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_69d6ab44a77c8190a652f4b27164e4ef |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903973c848190aac871d6dfecc74b |
completed | April 10, 2026, 2:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f472286edc8190ac72d7dd2b646c91 |
completed | May 1, 2026, 9:28 a.m. |
Created at: April 8, 2026, 9:46 p.m.