Triple
T19539915
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kent Nelson |
E488869
|
entity |
| Predicate | successorAsDoctorFate |
P136707
|
FINISHED |
| Object | Linda Strauss |
—
|
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: Linda Strauss | Statement: [Kent Nelson, successorAsDoctorFate, Linda Strauss]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Linda Strauss Context triple: [Kent Nelson, successorAsDoctorFate, Linda Strauss]
-
A.
Linda Strauss
chosen
Linda Strauss is a DC Comics character who briefly served as one of the human hosts of the mystical superhero Doctor Fate.
-
B.
Annette Strauss
Annette Strauss was an American civic leader and philanthropist who became one of Dallas’s most prominent mayors in the late 1980s.
-
C.
Linda Gottlieb
Linda Gottlieb is an American film and television producer best known for producing the iconic 1987 romantic drama film "Dirty Dancing."
-
D.
Lenore Fleischer
Lenore Fleischer is an American writer and editor best known for her numerous novelizations and tie-in books for popular films and television series.
-
E.
Linda Kramer
Linda Kramer is best known as the wife of Aerosmith drummer Joey Kramer.
- 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_69d8e8db5b6c8190984b61f91981f575 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63871d00881909ed7371ae5577957 |
completed | April 20, 2026, 2:30 p.m. |
Created at: April 10, 2026, 1:41 p.m.