Triple
T13922956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grand Orient of Italy |
E334789
|
entity |
| Predicate | hasDegree |
P6482
|
FINISHED |
| Object | Entered Apprentice |
E11415
|
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: Entered Apprentice | Statement: [Grand Orient of Italy, hasDegree, Entered Apprentice]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Entered Apprentice Context triple: [Grand Orient of Italy, hasDegree, Entered Apprentice]
-
A.
Entered Apprentice
chosen
Entered Apprentice is the first and introductory degree of Freemasonry, representing a candidate’s initial initiation into the Masonic fraternity.
-
B.
Apprentice Adept
Apprentice Adept is a science fantasy novel series by Piers Anthony that blends parallel worlds, magic, and technology in a shared universe.
-
C.
Junior
Junior is a 1994 comedy film in which Arnold Schwarzenegger plays a scientist who becomes pregnant as part of an experimental fertility project.
-
D.
Junior
Junior is the protagonist of the novel "Love" by Toni Morrison, around whom the story’s complex relationships and themes of desire, memory, and power revolve.
-
E.
What Stage
What Stage is the main performance stage at the Bonnaroo Music and Arts Festival, hosting its largest and most prominent acts.
- 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_69d81c5f739081908bc05b2461f54828 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2aa5c1f481908a9d8786872f08fe |
completed | April 14, 2026, 11:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7ce7ecb488190b96f67cad4b91968 |
completed | May 3, 2026, 10:38 p.m. |
Created at: April 9, 2026, 10:16 p.m.