Triple
T22093644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AVP: Requiem |
E545968
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Ariel Gade |
—
|
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: Ariel Gade | Statement: [AVP: Requiem, stars, Ariel Gade]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ariel Gade Context triple: [AVP: Requiem, stars, Ariel Gade]
-
A.
Ariel Gade
chosen
Ariel Gade is an American former child actress best known for her roles in films like "Dark Water" and "Aliens in the Attic" and for her work on television.
-
B.
Ariel Shepherd-Oppenheim
Ariel Shepherd-Oppenheim is an American writer and the daughter of actress Cybill Shepherd.
-
C.
Ariel Moore
Ariel Moore is the rebellious and spirited teenage daughter of a strict minister in the musical film "Footloose," whose desire for freedom and dancing drives much of the story’s conflict.
-
D.
Ariel Herbert-Voss
Ariel Herbert-Voss is a machine learning researcher known for her work at OpenAI on large language models and AI safety.
-
E.
Jonna Mendez
Jonna Mendez is a former CIA chief of disguise and intelligence officer known for her expertise in espionage tradecraft and co-authoring books on intelligence with her late husband Tony Mendez.
- 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_69e11e36d03c8190a83a1ba802b7231b |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f128e766388190aad1039fe0849771 |
completed | April 28, 2026, 9:38 p.m. |
Created at: April 16, 2026, 8:29 p.m.