Triple
T647618
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. Hermann Gottlieb |
E11275
|
entity |
| Predicate | hasRivalryWith |
P893
|
FINISHED |
| Object | Dr. Newton Geiszler |
E13366
|
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: Dr. Newton Geiszler | Statement: [Dr. Hermann Gottlieb, hasRivalryWith, Dr. Newton Geiszler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dr. Newton Geiszler Context triple: [Dr. Hermann Gottlieb, hasRivalryWith, Dr. Newton Geiszler]
-
A.
Dr. Newton Geiszler
chosen
Dr. Newton Geiszler is an eccentric and brilliant kaiju-obsessed scientist who plays a key role in understanding and combating the monstrous threats in the Pacific Rim universe.
-
B.
Robert B. Leighton
Robert B. Leighton was an American experimental physicist and educator known for his contributions to cosmic-ray and infrared astronomy and for coauthoring the influential Feynman Lectures on Physics.
-
C.
Stanley Corrsin
Stanley Corrsin was a prominent American fluid dynamicist renowned for his pioneering contributions to the study of turbulence and mixing in fluid flows.
-
D.
John David Stier
John David Stier is the son of Nobel Prize–winning mathematician John Nash and Eleanor Stier.
-
E.
Donald W. Loveland
Donald W. Loveland is a logician and computer scientist known for his influential contributions to automated theorem proving and logic in computer science.
- 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_69a493266a2881909daf4c40f719dee8 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49f1cb24481909d3b41a56b29dee9 |
completed | March 1, 2026, 8:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac7f1e0cd48190953a1e0dc2912e39 |
completed | March 7, 2026, 7:40 p.m. |
Created at: March 1, 2026, 7:36 p.m.