Triple
T18819620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rafferty Law |
E460227
|
entity |
| Predicate | hasHalfSibling |
P54212
|
FINISHED |
| Object | Ada Law |
—
|
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: Ada Law | Statement: [Rafferty Law, hasHalfSibling, Ada Law]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ada Law Context triple: [Rafferty Law, hasHalfSibling, Ada Law]
-
A.
Ada Law
chosen
Ada Law is one of the children of English actor Jude Law.
-
B.
Kathryn Bostic
Kathryn Bostic is an American composer and pianist known for her evocative film and theater scores, particularly in independent cinema and stage productions.
-
C.
Ada Brook
Ada Brook is a central character in the period drama series "The Gilded Age," portrayed as a genteel, unmarried woman navigating New York high society alongside her more domineering sister.
-
D.
Esther Dyson
Esther Dyson is a prominent technology investor, journalist, and philanthropist known for her early involvement in the digital economy and advocacy on issues such as health, space, and technology policy.
-
E.
Susan B. Landau
Susan B. Landau is a film producer best known for her work on the popular 1993 sports comedy "Cool Runnings."
- 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_69d8dcf94c288190a06dea029ae4b223 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5a6b8b7d88190a8828746176776ea |
completed | April 20, 2026, 4:08 a.m. |
Created at: April 10, 2026, 11:55 a.m.