Triple
T31212647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Holy Blood, Holy Grail |
E795790
|
entity |
| Predicate | proposesTheoryThat |
P62484
|
FINISHED |
| Object | Jesus Christ married Mary Magdalene |
—
|
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: Jesus Christ married Mary Magdalene | Statement: [Holy Blood, Holy Grail, proposesTheoryThat, Jesus Christ married Mary Magdalene]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: proposesTheoryThat Context triple: [Holy Blood, Holy Grail, proposesTheoryThat, Jesus Christ married Mary Magdalene]
-
A.
proposesHypothesis
chosen
Indicates that one entity puts forward a tentative explanation or hypothesis for consideration regarding another entity or phenomenon.
-
B.
developsTheory
Indicates that one entity formulates, elaborates, or advances a theoretical framework or explanation concerning another entity.
-
C.
hasTheory
Indicates that an entity possesses, is associated with, or is characterized by a particular theory.
-
D.
presentsTheory
Indicates that one entity formally puts forward or explains a theory to another entity or audience.
-
E.
extendsTheoryOf
Indicates that one theory builds upon, broadens, or elaborates the concepts, assumptions, or results of another theory.
- F. None of above.
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_69f224d9d52c8190a61f68ded37fa755 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f73223675481908c1bc3208c0f5284 |
completed | May 3, 2026, 11:31 a.m. |
| PD | Predicate disambiguation | batch_69f7317690108190b3aae2cd2e1d069e |
completed | May 3, 2026, 11:28 a.m. |
Created at: April 29, 2026, 9:09 p.m.