Triple
T8111063
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Pilger |
E189349
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | David Pilger |
E189349
|
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: David Pilger | Statement: [David Pilger, name, David Pilger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Pilger Context triple: [David Pilger, name, David Pilger]
-
A.
David Pilger
chosen
David Pilger is an individual notable enough to be recorded as a bearer of the surname Pilger, though no widely recognized public information about him is available.
-
B.
Robert Pilger
Robert Pilger is a relatively obscure individual about whom no widely known public or biographical information is readily available.
-
C.
William Pilger
William Pilger is an individual notable enough to be recognized as a namesake or prominent bearer of the surname Pilger.
-
D.
Brian Pilger
Brian Pilger is an individual notable enough to be recognized as a namesake of the surname Pilger, though specific widely known public details about him are limited.
-
E.
Richard Pilger
Richard Pilger is an American attorney known for his work in the U.S. Department of Justice overseeing the prosecution of election-related crimes.
- 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_69ca82b9d5848190a24672775d5c5011 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb42fcfb9c81908496f9a7e30d0d8a |
completed | March 31, 2026, 3:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc942a9af881908b7ddc724755893e |
completed | April 1, 2026, 3:42 a.m. |
Created at: March 30, 2026, 5:32 p.m.