Triple
T18819603
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rafferty Law |
E460227
|
entity |
| Predicate | givenName |
P17
|
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: [Rafferty Law, givenName, Rafferty]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rafferty Context triple: [Rafferty Law, givenName, 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.
Farrell
Farrell is a surname of Irish origin borne by numerous notable individuals across fields such as entertainment, sports, and politics.
-
C.
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.
-
D.
Shrady
Shrady is a surname most notably associated with Henry Merwin Shrady, an American sculptor renowned for creating the Ulysses S. Grant Memorial in Washington, D.C.
-
E.
Meagher
Meagher is an Irish surname most notably associated with Thomas Francis Meagher, a 19th-century Irish nationalist and American Civil War general.
- 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_69d8dcf94c288190a06dea029ae4b223 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5a6b8b7d88190a8828746176776ea |
completed | April 20, 2026, 4:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a055bca90d481908e1633dc4eef476d |
completed | May 14, 2026, 5:21 a.m. |
Created at: April 10, 2026, 11:55 a.m.