Triple
T3956830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Everest Hobson Lucas |
E85801
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object | Katie Lucas |
E52440
|
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: Katie Lucas | Statement: [Everest Hobson Lucas, relative, Katie Lucas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Katie Lucas Context triple: [Everest Hobson Lucas, relative, 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 Irving
Katie Irving is known primarily as the daughter of American theater director and producer Jules Irving.
-
C.
Katie Jacobs
Katie Jacobs is an American television producer and director best known for her work on the medical drama series "House."
-
D.
Katie Leyland
Katie Leyland is known as the wife of longtime Major League Baseball manager Jim Leyland.
-
E.
Katie McNeil
Katie McNeil is an American talent manager best known for her work in the music industry and for being married to singer-songwriter Neil Diamond.
- 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_69aed93a96908190bcbdbfa718f155bd |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef95bbb9c8190bd64c5b7ea2f341a |
completed | March 9, 2026, 4:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beb0b17e288190b6014ad9c31a3b9f |
completed | March 21, 2026, 2:52 p.m. |
Created at: March 9, 2026, 3:31 p.m.