Triple
T14404017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | White Guardian |
E357150
|
entity |
| Predicate | species |
P87
|
FINISHED |
| Object | Guardian |
E937787
|
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: Guardian | Statement: [White Guardian, species, Guardian]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guardian Context triple: [White Guardian, species, Guardian]
-
A.
Guardian
chosen
A Guardian is a hostile aquatic mob in Minecraft that patrols ocean monuments, attacking players and squids with a powerful laser.
-
B.
Guardian
Guardian is a protective role or title denoting someone charged with defending and safeguarding others, often in a custodial or security capacity.
-
C.
Guardian
"Guardian" is a song by Canadian singer-songwriter Alanis Morissette, known for its uplifting, protective themes and emotive alternative rock style.
-
D.
Guardian Bravo
Guardian Bravo is a Mark-6 Jaeger from the Pacific Rim universe, notable for its twin plasma chainsaws and role in defending humanity against Kaiju threats.
-
E.
Guardian US
Guardian US is the American digital edition of the British newspaper The Guardian, providing news, analysis, and opinion focused on United States and global issues.
- 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_69d82793421c8190861eb0e673b085de |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de90860ae481908e175decda8624d5 |
completed | April 14, 2026, 7:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd5523267081908d972b60b6039528 |
completed | May 8, 2026, 3:14 a.m. |
Created at: April 10, 2026, 1:17 a.m.