Triple
T3203228
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cotton Nero A.x |
E67098
|
entity |
| Predicate | textualUniqueness |
P46130
|
FINISHED |
| Object | sole surviving manuscript of Sir Gawain and the Green Knight |
—
|
LITERAL 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: sole surviving manuscript of Sir Gawain and the Green Knight | Statement: [Cotton Nero A.x, textualUniqueness, sole surviving manuscript of Sir Gawain and the Green Knight]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: textualUniqueness Context triple: [Cotton Nero A.x, textualUniqueness, sole surviving manuscript of Sir Gawain and the Green Knight]
-
A.
textualStructure
Indicates how parts of a text are organized and related to each other within its overall structure.
-
B.
textBy
Indicates that a given text or written content was authored or produced by a particular entity.
-
C.
textContent
Indicates that one entity is the textual content or written material contained within another entity.
-
D.
originalText
Indicates that one text is the initial, unmodified version from which other versions, translations, or representations are derived.
-
E.
hasLexicalSimilarityWith
Indicates that two linguistic items share a significant degree of similarity in form, structure, or wording.
- F. None of above. chosen
Provenance (4 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_69ad8589bd988190afa7ed2bdffb7b33 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada9b188a88190b7b5e9b3be9410db |
completed | March 8, 2026, 4:54 p.m. |
| PD | Predicate disambiguation | batch_69ad9e078f7c8190813d9fcb4f5071fb |
completed | March 8, 2026, 4:04 p.m. |
| PDg | Predicate description generation | batch_69ada0f9259c8190afbc5ad0fa55436b |
completed | March 8, 2026, 4:16 p.m. |
Created at: March 8, 2026, 3:07 p.m.