Triple
T19876425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Helen |
E477648
|
entity |
| Predicate | riskTakenFor |
P136107
|
FINISHED |
| Object | Enola |
—
|
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: Enola | Statement: [Helen, riskTakenFor, Enola]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Enola Context triple: [Helen, riskTakenFor, Enola]
-
A.
Enola
chosen
Enola is the young girl in the post-apocalyptic film "Waterworld" whose mysterious tattoo holds the key to finding the mythical Dryland.
-
B.
Evelyn
Evelyn is a given name shared by G. Evelyn Hutchinson, a prominent 20th-century British-born American ecologist often called the "father of modern ecology."
-
C.
Evelyn
Evelyn is a 2002 Irish drama film directed by Bruce Beresford, based on a true story about a father's legal battle to regain custody of his children.
-
D.
Evelyn
Evelyn is a fictional character from the film "Café Society," a romantic drama set in 1930s Hollywood and New York directed by Woody Allen.
-
E.
Evelyn
Evelyn is the given first name of Billie Frechette, the Native American woman known for her association with bank robber John Dillinger during the 1930s.
- 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_69d8e51f32b08190b3687f4f60353250 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e658dbdb648190b423865e7994a8fe |
completed | April 20, 2026, 4:48 p.m. |
Created at: April 10, 2026, 1:52 p.m.