Triple
T9414377
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rudy Law |
E226977
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object | Iris Law |
E171646
|
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: Iris Law | Statement: [Rudy Law, sibling, Iris Law]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Iris Law Context triple: [Rudy Law, sibling, Iris Law]
-
A.
Iris Law
chosen
Iris Law is a British model and actress known for her high-fashion campaigns and emerging film roles, as well as being the daughter of actors Jude Law and Sadie Frost.
-
B.
Iris Chase
Iris Chase is the complex, introspective narrator of Margaret Atwood’s novel "The Blind Assassin," whose recollections unravel a multigenerational family saga marked by betrayal, secrecy, and shifting power.
-
C.
Iris
"Iris" is a hit power ballad by the Goo Goo Dolls, best known for its prominent feature on the soundtrack of the film "City of Angels."
-
D.
Iris
Iris is the underage prostitute whom Travis Bickle becomes obsessed with rescuing in Martin Scorsese’s film "Taxi Driver."
-
E.
Iris
Iris is a feminine given name used in various cultures, often associated with the Greek goddess of the rainbow and the iris flower.
- 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_69ca84359e7c819091148ba4b670e436 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd68c7bd648190b17f082883c98239 |
completed | April 1, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d107b63cf48190a072e3434a7b85a8 |
completed | April 4, 2026, 12:44 p.m. |
Created at: March 30, 2026, 7:47 p.m.