Triple
T22867549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jillian Ellis |
E567095
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Jillian |
—
|
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: Jillian | Statement: [Jillian Ellis, givenName, Jillian]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jillian Context triple: [Jillian Ellis, givenName, Jillian]
-
A.
Jillian
chosen
Jillian is a feminine given name, commonly considered a variant of Gillian and used in English-speaking countries.
-
B.
Jill
Jill is a supporting character in the indie comedy film "Drinking Buddies," which centers on the relationships and romantic tensions among coworkers at a Chicago craft brewery.
-
C.
Jill
Jill is the NATO reporting name for the Japanese Nakajima B6N Tenzan, a World War II carrier-based torpedo bomber used by the Imperial Japanese Navy.
-
D.
Jill
Jill is a fictional character in John Updike’s novel "Rabbit Redux," playing a pivotal role in the protagonist Harry "Rabbit" Angstrom’s turbulent personal and social upheavals during the late 1960s.
-
E.
Jill
Jill is a feminine given name commonly used in English-speaking countries, often as a diminutive of Jillian or Gillian.
- 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_69e24589083081908d5694c4fdc80086 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17f0210b481908e0e6c4f95ba5a3b |
completed | April 29, 2026, 3:46 a.m. |
Created at: April 17, 2026, 3:38 p.m.