Triple
T33380334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beaumains |
E854754
|
entity |
| Predicate | squireChosen |
P176249
|
FINISHED |
| Object | Sir Lancelot |
—
|
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: Sir Lancelot | Statement: [Beaumains, squireChosen, Sir Lancelot]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: squireChosen Context triple: [Beaumains, squireChosen, Sir Lancelot]
-
A.
lastKnightAppointed
Indicates that a particular knight is the most recently appointed knight in a given context or order.
-
B.
reasonForKnighthood
Indicates the specific cause, achievement, or merit for which an individual was granted knighthood.
-
C.
swornSword
Indicates a formal oath of loyalty in which one entity pledges to serve and protect another as their sworn sword.
-
D.
knighthoodStatus
Indicates whether an entity currently holds, has held, or has been granted a formal knighthood or equivalent honorific status.
-
E.
sireOfChampions
Indicates that an individual has produced offspring who have gone on to become champions in a given field or competition.
- 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_69f3496ca10c8190908640d18fa00832 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6e00147d48190880fdcb31be37dcc |
completed | May 3, 2026, 5:41 a.m. |
| PD | Predicate disambiguation | batch_69f6de0c821c8190ae3ebda9dfdd0064 |
completed | May 3, 2026, 5:33 a.m. |
| PDg | Predicate description generation | batch_69f6de8962d48190919bdc4b7a937218 |
completed | May 3, 2026, 5:35 a.m. |
Created at: May 1, 2026, 1:35 a.m.