Triple
T5236063
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Exeter Book |
E118223
|
entity |
| Predicate | content |
P4446
|
FINISHED |
| Object | Christ III |
E503414
|
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: Christ III | Statement: [Exeter Book, content, Christ III]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Christ III Context triple: [Exeter Book, content, Christ III]
-
A.
Christ III
chosen
Christ III is an Old English religious poem, traditionally grouped with Christ I and Christ II in the Exeter Book, that focuses on the Last Judgment and Christ’s Second Coming.
-
B.
Christ II
Christ II is an Old English religious poem, traditionally attributed to the Anglo-Saxon poet Cynewulf, that reflects on the coming of Christ and themes of salvation.
-
C.
Christopher
Christopher is a common masculine given name of Greek origin, meaning "bearer of Christ."
-
D.
Christopher
Christopher is a character in James Baldwin’s novel "Tell Me How Long the Train’s Been Gone," contributing to the book’s exploration of race, identity, and personal relationships in mid-20th-century America.
-
E.
Christopher
Christopher is the full given name of Chris Sununu, an American politician who has served as governor of New Hampshire.
- 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_69bd4467db0881909b3b0982df32cc8f |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7b2595c88190b4ca0b99c2f31472 |
completed | March 20, 2026, 4:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bef81cca948190ab00302787367f43 |
completed | March 21, 2026, 7:57 p.m. |
Created at: March 20, 2026, 1:49 p.m.