Triple
T11489419
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liliana |
E272364
|
entity |
| Predicate | hasDiminutive |
P456
|
FINISHED |
| Object | Lily |
E52031
|
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: Lily | Statement: [Liliana, hasDiminutive, Lily]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lily Context triple: [Liliana, hasDiminutive, Lily]
-
A.
Lily
Lily is the central protagonist of the film "Damsels in Distress," around whom the story’s events and character dynamics revolve.
-
B.
Lily
Lily is a supporting character in Pixar's animated film "Turning Red," appearing as one of Meilin "Mei" Lee's aunts in her extended family.
-
C.
Lily
Lily is the resurrected, morally complex alter ego of Brona Croft in the horror drama series "Penny Dreadful."
-
D.
Lily
chosen
Lily is a feminine given name of English origin commonly associated with the lily flower and symbolizing purity and beauty.
-
E.
Lily
Lily is a fictional character from the British television sitcom "The Rag Trade," which humorously portrays the lives and conflicts of workers in a small clothing factory.
- 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_69d6aae1b09881909ce2ded3fa0c14fa |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d85a20df608190992543b4d7006f8a |
completed | April 10, 2026, 2:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ee866bb71c819091573965f7cf0dee |
completed | April 26, 2026, 9:40 p.m. |
Created at: April 8, 2026, 9:36 p.m.