Triple
T1760054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | xAI |
E38635
|
entity |
| Predicate | hasEmployee |
P2308
|
FINISHED |
| Object | Toby Pohlen |
E38635
|
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: Toby Pohlen | Statement: [xAI, hasEmployee, Toby Pohlen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toby Pohlen Context triple: [xAI, hasEmployee, Toby Pohlen]
-
A.
Toby Pohlen
chosen
Toby Pohlen is a member of the team at xAI, the artificial intelligence company founded by Elon Musk.
-
B.
Justin Elicker
Justin Elicker is an American politician who serves as the mayor of New Haven, Connecticut, known for his focus on urban development, education, and social equity.
-
C.
Toby Ziegler
Toby Ziegler is a central fictional character on the television series "The West Wing," serving as the White House Communications Director known for his sharp intellect, moral conviction, and often dour demeanor.
-
D.
Eric Wetzels
Eric Wetzels is a Dutch politician who serves as the chairperson of the People's Party for Freedom and Democracy (VVD).
-
E.
Chris Stolte
Chris Stolte is a computer scientist and entrepreneur best known as a co-founder and former chief development officer of the data visualization company Tableau Software.
- 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_69a8862d562481908d7025a1c1f67c0d |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa643f6a188190a250d5982badcce5 |
completed | March 6, 2026, 5:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae030371e88190982c822a460d3e47 |
completed | March 8, 2026, 11:15 p.m. |
Created at: March 4, 2026, 7:31 p.m.