Triple
T12602377
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The 5th Dimension |
E300888
|
entity |
| Predicate | originalMember |
P446
|
FINISHED |
| Object | Florence LaRue |
E1032940
|
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: Florence LaRue | Statement: [The 5th Dimension, originalMember, Florence LaRue]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Florence LaRue Context triple: [The 5th Dimension, originalMember, Florence LaRue]
-
A.
Florence LaRue
chosen
Florence LaRue is an American singer and actress best known as a longtime member of the Grammy-winning pop and R&B group The 5th Dimension.
-
B.
Florence Reed
Florence Reed was an American stage and silent film actress known for her powerful dramatic performances on Broadway and in early cinema.
-
C.
Florence McFadden
Florence McFadden was the wife of American actor and vaudevillian Jack Haley, best known for his role as the Tin Man in the classic film "The Wizard of Oz."
-
D.
Florence Williamson
Florence Williamson is a film editor known for her work on the 1972 musical historical comedy film "1776."
-
E.
Florence Johnston
Florence Johnston is the sharp-tongued, quick-witted housekeeper on the classic American sitcom "The Jeffersons."
- 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_69d7bdea2ca881908f379526c13b1145 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954d1f6ac8190ab21ca7bcbc80129 |
completed | April 10, 2026, 7:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd466577508190b1926c475b7c49dc |
completed | May 8, 2026, 2:11 a.m. |
Created at: April 9, 2026, 5:09 p.m.