Triple
T10349462
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lula Rose Gardner |
E243840
|
entity |
| Predicate | hasSibling |
P363
|
FINISHED |
| Object | Sailor Gene Gardner |
E243203
|
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: Sailor Gene Gardner | Statement: [Lula Rose Gardner, hasSibling, Sailor Gene Gardner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sailor Gene Gardner Context triple: [Lula Rose Gardner, hasSibling, Sailor Gene Gardner]
-
A.
Sailor Gene Gardner
chosen
Sailor Gene Gardner is the daughter of American actress and model Liv Tyler and sports manager Dave Gardner.
-
B.
Nathan Gardner
Nathan Gardner is an educational administrator who serves as a school principal.
-
C.
Nathan Gardner
Nathan Gardner is a person known primarily as a relative of Susan Gardner.
-
D.
Jarek Yeager
Jarek Yeager is a seasoned former Rebel pilot and mechanic who runs a repair shop on the Colossus platform in the animated series Star Wars Resistance.
-
E.
Burny Mattinson
Burny Mattinson was a veteran Walt Disney animator, director, and story artist whose decades-long career contributed to many classic Disney films.
- 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_69d381b22b8c8190aaed476be5f872a9 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e946cbb881909b88536d0107995d |
completed | April 7, 2026, 11:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7508e325c8190a88c2b972f8a6846 |
completed | April 9, 2026, 7:09 a.m. |
Created at: April 6, 2026, 11:57 a.m.