Triple
T22560223
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heinrich Müller |
E557790
|
entity |
| Predicate | lastSeen |
P148743
|
FINISHED |
| Object | Berlin |
—
|
NE NERFINISHED |
How this triple was built (3 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: Berlin | Statement: [Heinrich Müller, lastSeen, Berlin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Berlin Context triple: [Heinrich Müller, lastSeen, Berlin]
-
A.
Berlin
Berlin is a themed area in the Phantasialand amusement park that recreates the atmosphere and architecture of early 20th-century Berlin.
-
B.
Berlin
chosen
Berlin is the capital and largest city of Germany, historically significant as a focal point of Cold War tensions and a major cultural, political, and economic center in Europe.
-
C.
Berlin
Berlin is a charismatic, calculating, and morally ambiguous mastermind and heist leader in the Spanish television series "Money Heist" (La Casa de Papel).
-
D.
Berlin
Berlin is a major Ethereum network upgrade that introduced various gas cost optimizations and transaction processing improvements to enhance the blockchain’s efficiency and performance.
-
E.
Berlin
Berlin is a borough in Camden County, New Jersey, known as a suburban community within the Philadelphia metropolitan area.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lastSeen Context triple: [Heinrich Müller, lastSeen, Berlin]
-
A.
lastSeenOn
Indicates the most recent time or date at which the subject entity was observed, detected, or recorded.
-
B.
lastSeenBy
Indicates that an entity was most recently observed, detected, or recorded by a particular agent or source.
-
C.
lastAppearance
Indicates the most recent time or instance in which an entity appears or is present within a given context or sequence.
-
D.
lastSpeechDate
Indicates the date on which an entity most recently gave or delivered a speech.
-
E.
lastSeenAtStore
Indicates the most recent time an entity was observed or recorded as being present at a particular store.
- F. None of above. chosen
Provenance (4 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_69e11e59db848190b4272ecd2b690ffd |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15f7c914881909584c46ae323c779 |
completed | April 29, 2026, 1:31 a.m. |
| PD | Predicate disambiguation | batch_69ee626e6bb08190ada4dd8b48cc0c43 |
completed | April 26, 2026, 7:07 p.m. |
| PDg | Predicate description generation | batch_69ee8841e9cc81908d23b34215e3be71 |
completed | April 26, 2026, 9:48 p.m. |
Created at: April 16, 2026, 8:52 p.m.