Triple
T8995405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frieda Hughes |
E214893
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Frieda Hughes |
E214893
|
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: Frieda Hughes | Statement: [Frieda Hughes, name, Frieda Hughes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frieda Hughes Context triple: [Frieda Hughes, name, Frieda Hughes]
-
A.
Frieda Hughes
chosen
Frieda Hughes is a British poet, painter, and writer, and the daughter of poets Sylvia Plath and Ted Hughes.
-
B.
Frieda Lawrence
Frieda Lawrence was a German-born literary figure and muse best known as the wife and close collaborator of English novelist D. H. Lawrence.
-
C.
Geraldine Hughes
Geraldine Hughes is a Northern Irish actress best known for her role as Marie in the film "Rocky Balboa" (2006).
-
D.
Freda Miller
Freda Miller is known primarily as the former spouse of American television and radio host Larry King.
-
E.
Frieda Inescort
Frieda Inescort was a Scottish-born actress known for her supporting roles in classic Hollywood films of the 1930s and 1940s.
- 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_69ca83a05c608190bdfdbdb25e994b39 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc68ddff288190869731df2c178ff6 |
completed | April 1, 2026, 12:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d16101372c8190bbd0bd3c2389298d |
completed | April 4, 2026, 7:05 p.m. |
Created at: March 30, 2026, 7:04 p.m.