Triple
T22224204
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stateless |
E549291
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | Liz Watts |
—
|
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: Liz Watts | Statement: [Stateless, executiveProducer, Liz Watts]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Liz Watts Context triple: [Stateless, executiveProducer, Liz Watts]
-
A.
Liz Watts
chosen
Liz Watts is an Australian film and television producer known for her work on acclaimed projects such as the crime drama film "Animal Kingdom."
-
B.
Liz Watson
Liz Watson is an elite Australian netballer renowned as one of the world’s leading midcourters and a key figure for the national team.
-
C.
Liz Wilson
Liz Wilson is a veterinarian and Jon Arbuckle’s love interest in the Garfield franchise, including the live-action film "Garfield: The Movie."
-
D.
Liz Shepherd
Liz Shepherd is a fictional character in the television series "Grey's Anatomy," known as one of neurosurgeon Derek Shepherd's sisters.
-
E.
Carol Wetherly
Carol Wetherly is the protagonist of the 1983 post-apocalyptic drama film "Testament," a suburban mother struggling to protect her family after a nuclear attack.
- 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_69e11e403d6481909a94d0aaf157f6ef |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12b92b79c8190a8a4d33591abd763 |
completed | April 28, 2026, 9:50 p.m. |
Created at: April 16, 2026, 8:37 p.m.