Triple
T32604538
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert de Boron |
E833471
|
entity |
| Predicate | linkedGrailTo |
P194565
|
FINISHED |
| Object | Last Supper chalice |
—
|
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: Last Supper chalice | Statement: [Robert de Boron, linkedGrailTo, Last Supper chalice]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: linkedGrailTo Context triple: [Robert de Boron, linkedGrailTo, Last Supper chalice]
-
A.
linkedHero
Indicates a relationship where one hero is associated or connected to another hero in a meaningful way.
-
B.
linkedRight
Indicates that one entity is directly connected or positioned to the right of another entity in a sequence or structure.
-
C.
linkedSupport
Indicates a relationship where one entity provides support that is directly connected or dependent on another entity’s support or status.
-
D.
linkedAward
Indicates that one award is associated with, connected to, or references another award in a meaningful way.
-
E.
linkedToThroneOf
Indicates a relationship where an entity is connected or related to a specific throne, typically through authority, succession, or symbolic association.
- 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_69f3492ab63c8190aec24d5003b47c29 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fd7b0503a08190ba07338365b6fcc9 |
completed | May 8, 2026, 5:56 a.m. |
| PD | Predicate disambiguation | batch_69fd7a9733dc81909199f453c0cc2bc1 |
completed | May 8, 2026, 5:54 a.m. |
| PDg | Predicate description generation | batch_69fd7b042a548190b3abe31bc3258278 |
completed | May 8, 2026, 5:56 a.m. |
Created at: May 1, 2026, 1:05 a.m.