Triple
T34654404
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Holy Grail legends |
E889932
|
entity |
| Predicate | interpretsGrailAs |
P196098
|
FINISHED |
| Object | chalice of the Last Supper |
—
|
NE NERFINISHED |
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: chalice of the Last Supper | Statement: [Holy Grail legends, interpretsGrailAs, chalice of the Last Supper]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: interpretsGrailAs Context triple: [Holy Grail legends, interpretsGrailAs, chalice of the Last Supper]
-
A.
interpretsJudgmentAs
Indicates that one entity understands, construes, or explains a given judgment in a particular way or according to a specific meaning.
-
B.
eraInterpreted
Indicates that one entity has been interpreted, understood, or given meaning by another entity.
-
C.
intendedInterpretation
Indicates that one entity is meant to be understood or interpreted in a particular way, sense, or meaning relative to another.
-
D.
hasRadicalInterpretationOf
Indicates that one entity holds or applies a radical or fundamentally transformative interpretation of another entity (such as a text, idea, event, or concept).
-
E.
hasInterpretiveGoal
Indicates that an entity is associated with a specific intended meaning, purpose, or objective guiding how something should be interpreted.
- 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_69f349d906bc8190b2efd9eff237d94b |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fe066d62b48190867df334039be786 |
completed | May 8, 2026, 3:51 p.m. |
| PD | Predicate disambiguation | batch_69fe03afde3c8190a5b9b0778d19eb1a |
completed | May 8, 2026, 3:39 p.m. |
| PDg | Predicate description generation | batch_69fe066b623c819085205fbea901e3cf |
completed | May 8, 2026, 3:51 p.m. |
Created at: May 1, 2026, 2:04 a.m.