Triple
T1606830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jake Pentecost |
E34523
|
entity |
| Predicate | ally |
P4662
|
FINISHED |
| Object | Newt Geiszler |
E53032
|
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: Newt Geiszler | Statement: [Jake Pentecost, ally, Newt Geiszler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Newt Geiszler Context triple: [Jake Pentecost, ally, Newt Geiszler]
-
A.
Newt Geiszler
chosen
Newt Geiszler is a quirky, hyper-intelligent kaiju-obsessed scientist and former PPDC researcher in the Pacific Rim film series.
-
B.
Timothy J. Roemer
Timothy J. Roemer is an American politician and diplomat, a former U.S. congressman from Indiana who later served as U.S. Ambassador to India.
-
C.
David Kurtz
David Kurtz is a relatively obscure individual whose primary distinguishing feature is sharing the surname associated with the name Kurtz.
-
D.
John Boettiger
John Boettiger was an American journalist and newspaper publisher best known as the second husband of Anna Roosevelt, daughter of President Franklin D. Roosevelt.
-
E.
James Kuffner
James Kuffner is an American roboticist and computer scientist known for his pioneering work in motion planning and for leadership roles at Google and Toyota in robotics and autonomous systems.
- 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_69a885fea6a481909fe83ba6441f1774 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a9096b8a788190bd3ca395c32ccf25 |
completed | March 5, 2026, 4:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae02fd8f68819080a4b39ce3ad1198 |
completed | March 8, 2026, 11:15 p.m. |
Created at: March 4, 2026, 7:28 p.m.