Triple
T14397315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jessica Tandy |
E356982
|
entity |
| Predicate | hasSurname |
P18
|
FINISHED |
| Object | Tandy |
E356982
|
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: Tandy | Statement: [Jessica Tandy, hasSurname, Tandy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tandy Context triple: [Jessica Tandy, hasSurname, Tandy]
-
A.
Tandy
Tandy is a short story within Sherwood Anderson’s 1919 collection "Winesburg, Ohio," focusing on themes of longing, identity, and spiritual yearning in small-town America.
-
B.
Tandy
chosen
Tandy is a surname most notably associated with Jessica Tandy, the acclaimed British-American actress known for her work on stage and in film.
-
C.
Vertner Woodson Tandy
Vertner Woodson Tandy was an American architect and trailblazing African American professional, best known as one of the Seven Jewels who co-founded the Alpha Phi Alpha fraternity.
-
D.
Tandy TRS-80
The Tandy TRS-80 was one of the earliest mass-market personal computers, popular in the late 1970s and early 1980s for home and small business use.
-
E.
Busicom
Busicom was a Japanese calculator and electronics company best known for commissioning the Intel 4004, the first commercial microprocessor.
- 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_69d827927c988190ad98bb0360981783 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de90826f908190b3969af9b7cf922f |
completed | April 14, 2026, 7:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd5bc424f88190ab3a1c1aec61cb40 |
completed | May 8, 2026, 3:43 a.m. |
Created at: April 10, 2026, 1:17 a.m.