Triple
T6560349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Josie Lloyd |
E152565
|
entity |
| Predicate | mother |
P120
|
FINISHED |
| Object | Peggy Lloyd |
E663195
|
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: Peggy Lloyd | Statement: [Josie Lloyd, mother, Peggy Lloyd]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peggy Lloyd Context triple: [Josie Lloyd, mother, Peggy Lloyd]
-
A.
Peggy Lloyd
chosen
Peggy Lloyd was an American stage actress and director known for her work in early 20th-century theater and as the wife and collaborator of actor Harold Lloyd.
-
B.
Peggy Palmer
Peggy Palmer is one of the children of legendary American professional golfer Arnold Palmer.
-
C.
Pamela Landy
Pamela Landy is a high-ranking, principled CIA official in the Bourne film series who becomes a key figure in uncovering the agency’s covert operations surrounding Jason Bourne.
-
D.
Marjorie Parry
Marjorie Parry was the wife of renowned English conductor and cellist Sir John Barbirolli.
-
E.
Frances Penney
Frances Penney was the wife of Canadian physician and humanitarian Norman Bethune, accompanying parts of his medical and political journey in the early 20th century.
- 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_69c688058d6881908c19b309cc55dbfa |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ae22442081909bd6e2ba0091c56b |
completed | March 27, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8341cd2088190835992e0635d1b4e |
completed | March 28, 2026, 8:03 p.m. |
Created at: March 27, 2026, 1:52 p.m.