Triple
T17679461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ming Lee Simmons |
E440728
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Simmons |
—
|
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: Simmons | Statement: [Ming Lee Simmons, familyName, Simmons]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Simmons Context triple: [Ming Lee Simmons, familyName, Simmons]
-
A.
Simmons
chosen
Simmons is a common English-language surname borne by numerous notable individuals across fields such as entertainment, sports, academia, and business.
-
B.
Sijmons
Sijmons is a surname variant of Simons, commonly found in Dutch-speaking regions.
-
C.
Simons
Simons is a Canadian fashion and home goods department store chain known for its stylish, contemporary merchandise and distinctive store designs.
-
D.
Simons
Simons is a Dutch surname most notably associated with Menno Simons, the 16th-century religious leader whose teachings gave rise to the Mennonite movement.
-
E.
Simmonds
Simmonds is a surname most notably associated with Millicent Simmonds, a deaf American actress recognized for her roles in films such as "Wonderstruck" and "A Quiet Place."
- 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_69d8b9e940b081908b862bb0e6e89b0d |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e46f6f8054819087b2fe9bc8ad8d2f |
completed | April 19, 2026, 6 a.m. |
Created at: April 10, 2026, 10:01 a.m.