Triple
T17776080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jerrold Meinwald |
E443770
|
entity |
| Predicate | notableStudent |
P4838
|
FINISHED |
| Object | Thomas Eisner |
—
|
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: Thomas Eisner | Statement: [Jerrold Meinwald, notableStudent, Thomas Eisner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thomas Eisner Context triple: [Jerrold Meinwald, notableStudent, Thomas Eisner]
-
A.
Thomas Eisner
chosen
Thomas Eisner was a pioneering chemical ecologist and entomologist renowned for his groundbreaking studies of insect defense mechanisms and chemical communication.
-
B.
Walter Kornbluth
Walter Kornbluth is a zealous and often comically obsessive scientist in the 1984 romantic fantasy film "Splash," determined to expose the existence of a real mermaid.
-
C.
Hal Morgenstern
Hal Morgenstern is an American epidemiologist known for his contributions to cancer epidemiology and methods in observational study design.
-
D.
Richard Maibaum
Richard Maibaum was an American screenwriter and producer best known for his long-running work on the James Bond film series.
-
E.
Michael Bishop
Michael Bishop is the father of Irish-American comedian Des Bishop and is known to audiences through his son's work, including appearances in Des's autobiographical projects.
- 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_69d8b9ef17708190bdf7e2adbf14ddc2 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4871d43a481908aacde69bd8091b0 |
completed | April 19, 2026, 7:41 a.m. |
Created at: April 10, 2026, 10:12 a.m.