Triple
T16760254
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Landsknechte |
E407321
|
entity |
| Predicate | employedBy |
P7
|
FINISHED |
| Object | papacy |
E80250
|
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: papacy | Statement: [Landsknechte, employedBy, papacy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: papacy Context triple: [Landsknechte, employedBy, papacy]
-
A.
Papacy
chosen
The Papacy is the office and authority of the Pope as the spiritual leader of the Roman Catholic Church and, historically, a significant political power in Europe.
-
B.
Pope
Bill Pope is an American cinematographer best known for his visually dynamic work on films such as "The Matrix" trilogy and several of Sam Raimi’s and Edgar Wright’s movies.
-
C.
Pope
The Pope is the Bishop of Rome and spiritual leader of the worldwide Catholic Church, regarded as the successor of Saint Peter.
-
D.
Pope
Pope is the nickname of Santiago "Pope" Garcia, a former U.S. Army Delta Force operative and demolitions expert in the film "Triple Frontier."
-
E.
Pope
Pope is a member of the 2nd Massachusetts Militia Regiment, a military unit from the U.S. state of Massachusetts.
- 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_69d8839174188190909f190097207065 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3abec638c81909d71ff452a4123c9 |
completed | April 18, 2026, 4:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00a52b17b88190af24c04d16980c9f |
completed | May 10, 2026, 3:32 p.m. |
Created at: April 10, 2026, 5:21 a.m.