Triple
T20681212
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sophie Tucker |
E508296
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Bert Tucker |
—
|
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: Bert Tucker | Statement: [Sophie Tucker, child, Bert Tucker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bert Tucker Context triple: [Sophie Tucker, child, Bert Tucker]
-
A.
Bert Tucker
chosen
Bert Tucker was the son of famed American vaudeville and jazz singer Sophie Tucker.
-
B.
Bert Harrison
Bert Harrison is a fictional protagonist best known as the central character in the work "Trophy Wife."
-
C.
Bert Healy
Bert Healy is a fictional 1930s radio show host from the musical "Annie," known for his upbeat on-air personality and signature jingle.
-
D.
Buck Houghton
Buck Houghton was an American television producer best known for his work on the original series of The Twilight Zone.
-
E.
Bert Roach
Bert Roach was an American character actor of the silent and early sound film era, known for his comic supporting roles in numerous Hollywood productions.
- 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_69e0b4c1164881909a3bf1e3ddb2bc32 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6bea655488190bab168d564d888af |
completed | April 21, 2026, 12:02 a.m. |
Created at: April 16, 2026, 11:45 a.m.