Triple
T22144208
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leonore Cohn |
E547243
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Leonore Annenberg |
—
|
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: Leonore Annenberg | Statement: [Leonore Cohn, alsoKnownAs, Leonore Annenberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leonore Annenberg Context triple: [Leonore Cohn, alsoKnownAs, Leonore Annenberg]
-
A.
Leonore Annenberg
chosen
Leonore Annenberg was an American philanthropist and arts patron who served as Chief of Protocol of the United States and played a prominent role in cultural and educational initiatives.
-
B.
Patricia Haines
Patricia Haines was a British actress known for her television and film roles in the 1950s and 1960s.
-
C.
Laura Bauer
Laura Bauer is known as the spouse of American actor Chris Bauer.
-
D.
Claudia Paley
Claudia Paley is known primarily as the wife of American folk musician and guitarist Tom Paley.
-
E.
Louise E. du Pont Crowninshield
Louise E. du Pont Crowninshield was an American heiress and pioneering historic preservationist who played a key role in saving and restoring important early American buildings and interiors.
- 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_69e11e3a95d88190a3bd80d9471976c3 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f129c045448190b3d189cdb8c0d2fd |
completed | April 28, 2026, 9:42 p.m. |
Created at: April 16, 2026, 8:33 p.m.