Triple
T14158689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Georgia Engel |
E350877
|
entity |
| Predicate | notableCharacter |
P1481
|
FINISHED |
| Object | Georgette Franklin |
E1096727
|
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: Georgette Franklin | Statement: [Georgia Engel, notableCharacter, Georgette Franklin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Georgette Franklin Context triple: [Georgia Engel, notableCharacter, Georgette Franklin]
-
A.
Georgette Franklin Baxter
chosen
Georgette Franklin Baxter is a sweet-natured, somewhat naive but endearing character from *The Mary Tyler Moore Show*, known as the wife of pompous news anchor Ted Baxter.
-
B.
Louise Franklin
Louise Franklin was the wife of British actor George Coulouris, known primarily in relation to his personal life.
-
C.
Ethel Gross
Ethel Gross was the first wife of Harry Hopkins, a key advisor to U.S. President Franklin D. Roosevelt.
-
D.
Helene Strybing
Helene Strybing was a philanthropist whose generosity led to the establishment of the arboretum in San Francisco’s Golden Gate Park that bears her name.
-
E.
Lucile Rosson
Lucile Rosson was the wife of American film director Victor Fleming, known for his work during Hollywood’s Golden Age.
- 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_69d8278775fc8190b0802d22ca2f495d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61377de48190a3470d28f0edd34a |
completed | April 14, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff13322c548190bac21db2bfa56ee9 |
completed | May 9, 2026, 10:57 a.m. |
Created at: April 10, 2026, 12:58 a.m.