Triple
T9849880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Holy Door |
E239437
|
entity |
| Predicate | openedBy |
P421
|
FINISHED |
| Object | Pope |
E9339
|
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: Pope | Statement: [Holy Door, openedBy, Pope]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pope Context triple: [Holy Door, openedBy, Pope]
-
A.
Pope
chosen
The Pope is the Bishop of Rome and spiritual leader of the worldwide Catholic Church, regarded as the successor of Saint Peter.
-
B.
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."
-
C.
Pope
Pope is a member of the 2nd Massachusetts Militia Regiment, a military unit from the U.S. state of Massachusetts.
-
D.
Pope Cody
Pope Cody is a central, emotionally volatile member of the Cody crime family in the TV series "Animal Kingdom," known for his intense loyalty, inner turmoil, and complicated relationship with his relatives.
-
E.
Will Pope
Will Pope is a high-ranking, politically savvy LAPD commander featured in the crime drama series "The Closer," portrayed by actor J.K. Simmons.
- 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_69ca84e4fdc08190a624425bcef98665 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb372efc88190a801b2d7384445d7 |
completed | April 2, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1d5dda4b0819092703270e87bee5a |
completed | April 5, 2026, 3:24 a.m. |
Created at: March 30, 2026, 8:34 p.m.