Triple
T14690233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andals |
E345015
|
entity |
| Predicate | venerate |
P8505
|
FINISHED |
| Object | the Warrior |
E1014104
|
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: the Warrior | Statement: [Andals, venerate, the Warrior]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: the Warrior Context triple: [Andals, venerate, the Warrior]
-
A.
the Warrior
chosen
The Warrior is one of the seven facets of the Faith of the Seven in the world of A Song of Ice and Fire, embodying strength, courage, and martial prowess for worshippers seeking victory and protection in battle.
-
B.
the Warrior
The Warrior is an incarnation of the Doctor from the British science fiction series Doctor Who, known for fighting in the Last Great Time War and later referred to as the War Doctor.
-
C.
The Warrior
"The Warrior" is a notable work by Martin Walsh, likely recognized as one of his significant creative or literary contributions.
-
D.
Warrior
Warrior is the fierce and athletic mascot character representing Wayne State University's sports teams, the Wayne State Warriors.
-
E.
Warrior
Warrior is the radio callsign used by the U.S. Navy aircraft carrier USS George H.W. Bush (CVN-77).
- 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_69d822e34b348190ada4d1cdb6c7c226 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb5844de481908a796eaa474bfde9 |
completed | April 14, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fde189771c81909289b8b044e32547 |
completed | May 8, 2026, 1:13 p.m. |
Created at: April 10, 2026, 1:28 a.m.