Triple
T17099597
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dorian Lord |
E414942
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object | Adriana Cramer |
E597707
|
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: Adriana Cramer | Statement: [Dorian Lord, hasChild, Adriana Cramer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Adriana Cramer Context triple: [Dorian Lord, hasChild, Adriana Cramer]
-
A.
Adriana Cramer
chosen
Adriana Cramer is a fictional character from the soap opera "One Life to Live," known for her dramatic storylines and complex family relationships.
-
B.
Amada Cruz
Amada Cruz is an American museum director and arts administrator known for leading major art institutions, including serving as director of the Seattle Art Museum.
-
C.
Adriana Pennino
Adriana Pennino is a fictional character from the "Rocky" film series, best known as Rocky Balboa’s shy yet supportive wife.
-
D.
Anne Alvaro
Anne Alvaro is a French actress acclaimed for her work in film, theatre, and television, noted for her nuanced character roles and multiple prestigious awards.
-
E.
Adriana Medina
Adriana Medina is a contemporary perfumer known for creating modern, luminous fragrances for major luxury brands such as Lancôme.
- 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_69d886cfc8e88190b05ba466edd35591 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dc00880481909cc0dbc169663a41 |
completed | April 18, 2026, 7:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012eefd5f08190b9eb8a81e45a9921 |
completed | May 11, 2026, 1:20 a.m. |
Created at: April 10, 2026, 5:35 a.m.