Triple
T4774564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Right to Privacy |
E106011
|
entity |
| Predicate | hasContributor |
P4244
|
FINISHED |
| Object | Ellen Alderman |
E468890
|
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: Ellen Alderman | Statement: [The Right to Privacy, hasContributor, Ellen Alderman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ellen Alderman Context triple: [The Right to Privacy, hasContributor, Ellen Alderman]
-
A.
Ellen Alderman
chosen
Ellen Alderman is an American author and lawyer best known for co-writing accessible, real-world explorations of constitutional rights and civil liberties.
-
B.
Elizabeth Dowdeswell
Elizabeth Dowdeswell is a Canadian public servant and former Under-Secretary-General of the United Nations who has served as the 29th Lieutenant Governor of Ontario.
-
C.
Amelia Kuttner
Amelia Kuttner is a key character in the neo-noir action-comedy film "The Nice Guys," whose disappearance drives the movie’s central investigation.
-
D.
Kate Harwood
Kate Harwood is a British television producer and executive known for her work on high-profile drama series, including the acclaimed crime drama "Luther."
-
E.
Prunella Gee
Prunella Gee is a British actress known for her film, television, and stage work, particularly in British productions of the 1970s and 1980s.
- 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_69bd43f3074c8190937e7b0a457fe9f1 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6584481081908f1041a8827e0b42 |
completed | March 20, 2026, 3:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be67c4460c81909d93ea5fcfa200e2 |
completed | March 21, 2026, 9:41 a.m. |
Created at: March 20, 2026, 1:21 p.m.