Triple
T2140544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Senior Master Sergeant (USSF) |
E46749
|
entity |
| Predicate | usedBy |
P260
|
FINISHED |
| Object | Guardians |
E7956
|
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: Guardians | Statement: [Senior Master Sergeant (USSF), usedBy, Guardians]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guardians Context triple: [Senior Master Sergeant (USSF), usedBy, Guardians]
-
A.
Guardians
chosen
Guardians are the uniformed service members of the United States Space Force, responsible for conducting and supporting military operations in space.
-
B.
Guarda
Guarda is a historic city in central Portugal known for being the country's highest-altitude city and for its well-preserved medieval architecture.
-
C.
Guards
Guards is an honorific military designation historically awarded to elite, highly distinguished units in various armed forces, particularly in the Soviet and Russian militaries.
-
D.
Gurren Lagann
Gurren Lagann is a popular Japanese mecha anime series known for its over-the-top action, inspirational themes, and distinctive visual style.
-
E.
Beast
Beast is a thriller novel by Peter Benchley that centers on a deadly giant squid terrorizing a coastal community.
- 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_69a88a174ab48190a5db20c132e5dccf |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abbe04135c8190ab100b4b3879cb01 |
completed | March 7, 2026, 5:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae5d904cbc819088ba4086297eaf3d |
completed | March 9, 2026, 5:41 a.m. |
Created at: March 4, 2026, 7:44 p.m.