Triple
T2500001
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Katie Lucas |
E52440
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object | Jett Lucas |
E47258
|
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: Jett Lucas | Statement: [Katie Lucas, sibling, Jett Lucas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jett Lucas Context triple: [Katie Lucas, sibling, Jett Lucas]
-
A.
Jett Lucas
chosen
Jett Lucas is the adopted son of filmmaker George Lucas, known for his occasional appearances in the Star Wars prequel films and involvement in related media.
-
B.
Ezekiel Jones
Ezekiel Jones is a charming, tech-savvy master thief and one of the main Librarians in the fantasy adventure TV series "The Librarians."
-
C.
Jake Tucker
Jake Tucker is a recurring character on the animated television series "Family Guy," known as the physically deformed son of news anchor Tom Tucker.
-
D.
Adin Yutzy
Adin Yutzy was an Amish parent involved in the landmark U.S. Supreme Court case Wisconsin v. Yoder, which addressed compulsory education laws and religious freedom.
-
E.
Jonah Baldwin
Jonah Baldwin is the young son in the romantic comedy film "Sleepless in Seattle," whose efforts to find a new partner for his widowed father drive the story's plot.
- 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_69ab4957b3a88190adf968ae0c1b931c |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd1afd86c81909181c4b45d4f8bc5 |
completed | March 7, 2026, 7:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af1f9ed13c81909856db636bfb2e9e |
completed | March 9, 2026, 7:29 p.m. |
Created at: March 6, 2026, 9:46 p.m.