Triple
T17224656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charlotte Andergast |
E418081
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object | Eva |
E93610
|
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: Eva | Statement: [Charlotte Andergast, hasChild, Eva]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eva Context triple: [Charlotte Andergast, hasChild, Eva]
-
A.
Eva
Eva is a 1962 psychological drama film directed by Joseph Losey, known for its intense character study and atmospheric European setting.
-
B.
Eva
chosen
Eva is a feminine given name of Hebrew origin, equivalent to "Eve" and widely used in many languages and cultures.
-
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 the given first name of Billie Frechette, the Native American woman known for her association with bank robber John Dillinger during the 1930s.
-
E.
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.
- 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_69d886d779488190b131369541c04e7d |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42de0a8dc819093d9c8fb4f80342c |
completed | April 19, 2026, 1:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01675cc70881909cf39b2e229f5d1e |
completed | May 11, 2026, 5:21 a.m. |
Created at: April 10, 2026, 5:38 a.m.