Triple
T13163943
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eleanor Boardman |
E312797
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Eleanor Boardman |
E312797
|
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: Eleanor Boardman | Statement: [Eleanor Boardman, name, Eleanor Boardman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eleanor Boardman Context triple: [Eleanor Boardman, name, Eleanor Boardman]
-
A.
Eleanor Boardman
chosen
Eleanor Boardman was a prominent American silent film actress of the 1920s, best known for her work with director King Vidor and her performances in films such as "The Crowd."
-
B.
Eleanor Neale
Eleanor Neale is a British true crime YouTuber and content creator known for her in-depth case analyses and storytelling style.
-
C.
Eleanor Gleason
Eleanor Gleason is a notable member of the Gleason family, recognized for her significance within that lineage.
-
D.
Eleanor Whitesell
Eleanor Whitesell is the daughter of American media personality and helicopter pilot Lauren Sánchez and talent agent Patrick Whitesell.
-
E.
Eleanor Perry
Eleanor Perry was an American screenwriter and playwright best known for her psychologically nuanced film and television scripts in the 1960s and 1970s.
- 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_69d806ac3ee081909b2fd27d060aa974 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c0bf5a48190bf245dceee24b579 |
completed | April 10, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7546b9ae081909f97fc4a06b8f927 |
completed | May 3, 2026, 1:58 p.m. |
Created at: April 9, 2026, 9:13 p.m.