Triple
T17388019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marlena Evans |
E422738
|
entity |
| Predicate | hasLoveInterest |
P7325
|
FINISHED |
| Object | John Black |
—
|
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: John Black | Statement: [Marlena Evans, hasLoveInterest, John Black]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Black Context triple: [Marlena Evans, hasLoveInterest, John Black]
-
A.
John Black
chosen
John Black is a long-running, central character on the American soap opera "Days of Our Lives," known for his complex past, shifting identities, and dramatic romances.
-
B.
John Black
John Black is a television director best known for his work on the Doctor Who spin-off special "K-9 and Company."
-
C.
John Black
John Black is a cryptographer and computer scientist known for his research in symmetric-key cryptography and collaboration with fellow cryptographer Phillip Rogaway.
-
D.
Ben Black
Ben Black is a member of the prominent Black family, known primarily as the son of billionaire investor and Apollo Global Management co-founder Leon Black.
-
E.
Martin Black
Martin Black is a member of the Black family, a fictional pure-blood wizarding family in the Harry Potter universe.
- 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_69d889d710288190bf0f4762801fefae |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a8b66288190b29bb82eff761902 |
completed | April 19, 2026, 2:14 a.m. |
Created at: April 10, 2026, 5:45 a.m.