Triple
T33372991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Camelot |
E854547
|
entity |
| Predicate | originalGuenevereActor |
P192961
|
FINISHED |
| Object | Julie Andrews |
E323424
|
NE 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: Julie Andrews | Statement: [Camelot, originalGuenevereActor, Julie Andrews]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalGuenevereActor Context triple: [Camelot, originalGuenevereActor, Julie Andrews]
-
A.
roleOfGueneverePlayedBy
chosen
Indicates that a specified person or performer portrays the character Guenevere in a production or performance.
-
B.
originalElizabethIActor
Indicates that the subject is the actor who originally portrayed the character of Elizabeth I in a given production or work.
-
C.
roleOfLancelotPlayedBy
Indicates that a person is the actor who portrays the character Lancelot in a performance or production.
-
D.
roleOfKingArthurPlayedBy
Indicates that the role or character of King Arthur is portrayed or performed by a particular actor or performer.
-
E.
JudithAndersonRole
Indicates that a role is one portrayed or performed by Judith Anderson.
- F. None of above.
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_6a0316136a14819085bb88563d5abc42 |
completed | May 12, 2026, 11:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a35521d10fc8190bc7a6f5801a3c7d6 |
completed | June 19, 2026, 2:28 p.m. |
| PD | Predicate disambiguation | batch_6a03158a962c81909f17d58197f6ba00 |
completed | May 12, 2026, 11:56 a.m. |
Created at: May 1, 2026, 1:35 a.m.