Triple
T21300862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jessica Sula |
E525056
|
entity |
| Predicate | playedCharacter |
P1507
|
FINISHED |
| Object | Liv |
—
|
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: Liv | Statement: [Jessica Sula, playedCharacter, Liv]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Liv Context triple: [Jessica Sula, playedCharacter, Liv]
-
A.
Liv
chosen
Liv is a feminine given name, often used in Scandinavian countries and popularized internationally by actress Liv Tyler.
-
B.
Liv Lo
Liv Lo is a Taiwanese television host, fitness entrepreneur, and yoga instructor known for her work in wellness and as the wife of actor Henry Golding.
-
C.
Livvi
Livvi is a Finnic language variety spoken in the Republic of Karelia in Russia, closely related to Karelian and Finnish.
-
D.
Lou
Lou is the central canine hero of the animated film "Cats & Dogs," leading the fight to protect humanity from a secret feline plot.
-
E.
Lou
Lou is a character in the television miniseries "The Continental: From the World of John Wick," set in the action-packed criminal underworld of the John Wick franchise.
- 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_69e0b517e6748190850d6f6ddf323d69 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7385c078881908a451be1a19a64c5 |
completed | April 21, 2026, 8:42 a.m. |
Created at: April 16, 2026, 4:05 p.m.