Triple
T18150682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter Seligmann |
E434492
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Peter Seligmann |
—
|
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: Peter Seligmann | Statement: [Peter Seligmann, name, Peter Seligmann]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Seligmann Context triple: [Peter Seligmann, name, Peter Seligmann]
-
A.
Peter Seligmann
chosen
Peter Seligmann is an American environmentalist and business leader best known for co-founding and leading the global conservation organization Conservation International.
-
B.
Peter Kaufman
Peter Kaufman is an American film producer known for his work on several feature films, often collaborating on projects connected to his father, director Philip Kaufman.
-
C.
Philip Andelman
Philip Andelman is an American music video and commercial director known for his work with major artists across pop and rock music.
-
D.
Roberto Malinow
Roberto Malinow is a prominent neuroscientist known for his influential research on synaptic plasticity and the mechanisms underlying learning and memory.
-
E.
Wolf Mankowitz
Wolf Mankowitz was a British novelist, playwright, and screenwriter known for his work on films such as the 1967 James Bond spoof "Casino Royale" and for his influential postwar literary portrayals of East End London.
- 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_69d8b90aac308190801e2c57d8c5bfe5 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4de3812e8819097f025476d5c6a1d |
completed | April 19, 2026, 1:52 p.m. |
Created at: April 10, 2026, 10:29 a.m.