Triple
T18255400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Simons Foundation |
E437209
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object | Marilyn Simons |
—
|
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: Marilyn Simons | Statement: [Simons Foundation, foundedBy, Marilyn Simons]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marilyn Simons Context triple: [Simons Foundation, foundedBy, Marilyn Simons]
-
A.
Marilyn Simons
chosen
Marilyn Simons is a philanthropist and co-founder of the Simons Foundation who serves in a leadership role at Cold Spring Harbor Laboratory.
-
B.
Joan Simon
Joan Simon was the daughter of British statesman Sir John Simon, likely known primarily in relation to her prominent father's public life.
-
C.
Diane Simmons
Diane Simmons is a fictional Quahog news anchor and recurring character on the animated television series "Family Guy."
-
D.
Sylvia Simon
Sylvia Simon is a character in Judy Blume’s novel "Are You There God? It’s Me, Margaret."
-
E.
Maureen Modiselle
Maureen Modiselle is a South African politician who served as the Premier of the North West province.
- 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_69d8b913351c8190932b6a426de04b41 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4fd84b3a481908bbc1a5e5034d397 |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 10:34 a.m.