Triple
T16282421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frieda Lawrence |
E395299
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Frieda Lawrence |
—
|
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: Frieda Lawrence | Statement: [Frieda Lawrence, alsoKnownAs, Frieda Lawrence]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frieda Lawrence Context triple: [Frieda Lawrence, alsoKnownAs, Frieda Lawrence]
-
A.
Frieda Lawrence
chosen
Frieda Lawrence was a German-born literary figure and muse best known as the wife and close collaborator of English novelist D. H. Lawrence.
-
B.
Frieda Hughes
Frieda Hughes is a British poet, painter, and writer, and the daughter of poets Sylvia Plath and Ted Hughes.
-
C.
Frieda Phillips
Frieda Phillips was the wife of New Zealand economist A. W. Phillips, known for the Phillips curve in macroeconomics.
-
D.
Winifred Gillis
Winifred Gillis is a fictional character from the American television sitcom "The Many Loves of Dobie Gillis."
-
E.
Louise Burns
Louise Burns is a fictional character in the television series "M*A*S*H," known primarily as the often-mentioned but never-seen wife of Major Frank Burns.
- 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_69d87f22c7248190a54c949738441e2e |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e24911f11881909c98ddf829f077e9 |
completed | April 17, 2026, 2:52 p.m. |
Created at: April 10, 2026, 5:05 a.m.