Triple
T5643880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frances Rafferty |
E124334
|
entity |
| Predicate | hasFamilyName |
P18
|
FINISHED |
| Object | Rafferty |
E460227
|
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: Rafferty | Statement: [Frances Rafferty, hasFamilyName, Rafferty]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rafferty Context triple: [Frances Rafferty, hasFamilyName, Rafferty]
-
A.
Rafferty
chosen
Rafferty is an English model and actor best known as the son of actor Jude Law and actress Sadie Frost.
-
B.
Chips Rafferty
Chips Rafferty was a prominent Australian actor known for his rugged, laconic screen persona and key roles in mid-20th-century Australian cinema.
-
C.
Rennie
Rennie is a Scottish surname most notably associated with the family of civil engineers, including John Rennie the Younger.
-
D.
O’Flaherty
O’Flaherty is the birth surname of American author Kate Chopin, known for her pioneering works of feminist literature in the late 19th century.
-
E.
Mullally
Mullally is a surname of Irish origin borne by various notable individuals in fields such as entertainment, sports, and public service.
- 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_69c00824643c81909ffdb888a2d35189 |
completed | March 22, 2026, 3:17 p.m. |
| NER | Named-entity recognition | batch_69c022a7cd9c819087f86f60e8b65fc3 |
completed | March 22, 2026, 5:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04d80396c81909e26da3b5ca5ea34 |
completed | March 22, 2026, 8:13 p.m. |
Created at: March 22, 2026, 3:41 p.m.