Triple
T16518762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Lucas |
E401257
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Katie Lucas |
—
|
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: Katie Lucas | Statement: [George Lucas, child, Katie Lucas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Katie Lucas Context triple: [George Lucas, child, Katie Lucas]
-
A.
Katie Lucas
chosen
Katie Lucas is an American screenwriter and actress best known for her work on the animated series "Star Wars: The Clone Wars" and as the daughter of filmmaker George Lucas.
-
B.
Katie Morgan
Katie Morgan is a struggling single mother in the British social-realist film "I, Daniel Blake," whose experiences highlight the failures of the welfare system.
-
C.
Katie King
Katie King is the daughter of British television presenter and former "Countdown" co-host Carol Vorderman.
-
D.
Katie Wilkinson
Katie Wilkinson is a central character in James Patterson's novel "Suzanne's Diary for Nicholas," a young editor whose discovery of a poignant diary transforms her understanding of love and loss.
-
E.
Katie Lyons
Katie Lyons is a British actress known for her comedic roles in television series such as Green Wing and other UK comedies.
- 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_69d883838abc8190bc79cb2d41733ce2 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e7ec45c8190b5e2c4a5f707e332 |
completed | April 18, 2026, 7:10 a.m. |
Created at: April 10, 2026, 5:14 a.m.