Triple
T4696201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rafferty Law |
E104147
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Rafferty Law |
E104147
|
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 Law | Statement: [Rafferty Law, name, Rafferty Law]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rafferty Law Context triple: [Rafferty Law, name, Rafferty Law]
-
A.
Rafferty Law
chosen
Rafferty Law is a British model and actor, best known as the son of actors Jude Law and Sadie Frost.
-
B.
Greenlaw
Greenlaw is a small historic town in the Scottish Borders that once served as the county town of Berwickshire.
-
C.
Cobb, Fendley & Associates
Cobb, Fendley & Associates is an architecture and engineering firm known for providing design and technical services on major civic and cultural projects.
-
D.
Short & Associates
Short & Associates is an architectural firm known for designing the Contact Theatre in Manchester, England.
-
E.
Clivillés & Cole
Clivillés & Cole were a prominent American production and remix duo, best known for their work as C+C Music Factory and for shaping early 1990s dance and pop music.
- 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_69bd43df91f481908e9add1b617b60ef |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd63b2eb708190962f460063615f9a |
completed | March 20, 2026, 3:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be03c3e6f48190b2f61de26192f5c4 |
completed | March 21, 2026, 2:34 a.m. |
Created at: March 20, 2026, 1:17 p.m.