Triple
T2547720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Invaders |
E57943
|
entity |
| Predicate | member |
P10
|
FINISHED |
| Object | Blue Diamond |
E4100
|
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: Blue Diamond | Statement: [Invaders, member, Blue Diamond]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blue Diamond Context triple: [Invaders, member, Blue Diamond]
-
A.
Blue Diamond
chosen
Blue Diamond is the nickname of the U.S. 1st Marine Division, a storied Marine Corps infantry division renowned for its combat history and distinctive diamond-shaped insignia.
-
B.
Gala Brand
Gala Brand is a fictional Special Branch officer and Bond girl who appears in Ian Fleming’s James Bond novel "Moonraker."
-
C.
Gold City
Gold City is a nickname for Dahlonega, Georgia, a historic town famed for its early 19th-century gold rush and mining heritage.
-
D.
Gold Point
Gold Point is a historic Nevada mining ghost town known for its preserved old buildings and Wild West heritage.
-
E.
Barbour Silver Company
Barbour Silver Company was an American silverware and silver-plated goods manufacturer known for its ornate Victorian and early 20th-century designs, later operating as part of the International Silver Company conglomerate.
- 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_69ab4a5212d88190b989ce129f2ad87f |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd2e672948190bb7fe9b47535a172 |
completed | March 7, 2026, 7:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af5d0e6e188190be190965cc02838e |
completed | March 9, 2026, 11:51 p.m. |
Created at: March 6, 2026, 9:47 p.m.