Triple
T8373433
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Stonehouse |
E197513
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object | Jane Stonehouse |
E730446
|
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: Jane Stonehouse | Statement: [John Stonehouse, hasChild, Jane Stonehouse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jane Stonehouse Context triple: [John Stonehouse, hasChild, Jane Stonehouse]
-
A.
Robin Stone
Robin Stone is the ambitious, charismatic television executive who serves as the central figure in Jacqueline Susann’s novel "The Love Machine."
-
B.
Julia Stonehouse
chosen
Julia Stonehouse is the daughter of British politician John Stonehouse, who became known for his infamous 1974 disappearance and faked death scandal.
-
C.
Lola Stone
Lola Stone is the sadistic, prom-obsessed teenage antagonist from the Australian horror film "The Loved Ones."
-
D.
Gabrielle Stone
Gabrielle Stone is an American actress and author, known for her work in independent films and for writing the bestselling memoir "Eat, Pray, #FML."
-
E.
Marianne Stone
Marianne Stone was a British character actress known for her prolific supporting roles in numerous mid-20th-century films and television series.
- 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_69ca82f56730819080cec5d991c76f4c |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb80a7cab881909d8cca66a340dceb |
completed | March 31, 2026, 8:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce02aab4488190abc63bace296e32a |
completed | April 2, 2026, 5:46 a.m. |
Created at: March 30, 2026, 6:01 p.m.