Triple
T7609141
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Walter White |
E172187
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Heisenberg |
E19631
|
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: Heisenberg | Statement: [Walter White, alsoKnownAs, Heisenberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heisenberg Context triple: [Walter White, alsoKnownAs, Heisenberg]
-
A.
Pauli
Pauli was the commonly used name of Pauli Murray, a pioneering American civil rights activist, lawyer, Episcopal priest, and writer whose work influenced both the civil rights and women’s rights movements.
-
B.
Werner Heisenberg
chosen
Werner Heisenberg was a German theoretical physicist best known as a pioneer of quantum mechanics and the originator of the uncertainty principle.
-
C.
EINSTEIN
EINSTEIN is a U.S. federal intrusion detection and prevention system used to monitor and protect government agency networks from cyber threats.
-
D.
Werner
Werner is a given name and surname of Germanic origin, commonly used in German-speaking countries.
-
E.
Neumann
Neumann is a variant spelling of the surname Newman, commonly of German origin and borne by various notable figures in science, mathematics, and the arts.
- 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_69c6994f50808190ba228764bb422417 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6fa1f6e888190ac6580724803fbc3 |
completed | March 27, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c868600c7c81909cdeebdb5b2bdaf3 |
completed | March 28, 2026, 11:46 p.m. |
Created at: March 27, 2026, 3:54 p.m.