Triple
T33372992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Camelot |
E854547
|
entity |
| Predicate | originalLancelotActor |
P193037
|
FINISHED |
| Object | Robert Goulet |
E437349
|
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: Robert Goulet | Statement: [Camelot, originalLancelotActor, Robert Goulet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalLancelotActor Context triple: [Camelot, originalLancelotActor, Robert Goulet]
-
A.
roleOfLancelotPlayedBy
chosen
Indicates that a person is the actor who portrays the character Lancelot in a performance or production.
-
B.
leadActorForCharacterLance
Indicates that the referenced person is the primary actor who portrays the character named Lance.
-
C.
roleOfGueneverePlayedBy
Indicates that a specified person or performer portrays the character Guenevere in a production or performance.
-
D.
eraCharacter
Indicates that a character is associated with, or belongs to, a particular historical or fictional era.
-
E.
roleOfKingArthurPlayedBy
Indicates that the role or character of King Arthur is portrayed or performed by a particular actor or performer.
- 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_6a03173dd4988190a38175b63cba9f09 |
completed | May 12, 2026, 12:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a35521d10fc8190bc7a6f5801a3c7d6 |
completed | June 19, 2026, 2:28 p.m. |
| PD | Predicate disambiguation | batch_6a031700ade88190afd217d5966b03b4 |
completed | May 12, 2026, 12:03 p.m. |
Created at: May 1, 2026, 1:35 a.m.