Triple
T30619287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Tall T |
E779400
|
entity |
| Predicate | actorForCharacter Frank Usher |
P170471
|
FINISHED |
| Object | Richard Boone |
—
|
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: Richard Boone | Statement: [The Tall T, actorForCharacter Frank Usher, Richard Boone]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: actorForCharacter Frank Usher Context triple: [The Tall T, actorForCharacter Frank Usher, Richard Boone]
-
A.
actorForCharacterWardPhillips
Indicates that a given actor portrays or voices the character Ward Phillips.
-
B.
actorForCharacter Jack Bruhn
Indicates that Jack Bruhn is the actor who portrays or performs the role of a particular character.
-
C.
actorForCharacterVictor
Indicates that an entity serves as the actor portraying or performing the character Victor.
-
D.
mainActorForCharacter_CharlieCrews
Indicates that the referenced person is the primary actor who portrays the character Charlie Crews.
-
E.
actorForCharacterJürgenMossack
Indicates that someone is the actor who portrays the character Jürgen Mossack.
- 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_69f224a3307081909a6dca8ca75dbf48 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f69063edbc81909e7735954aabee0b |
completed | May 3, 2026, 12:01 a.m. |
| PD | Predicate disambiguation | batch_69f68b7b03488190b1db5fde4c7dd6e5 |
completed | May 2, 2026, 11:40 p.m. |
| PDg | Predicate description generation | batch_69f68f6584a88190a8c4d95c0c84bee9 |
completed | May 2, 2026, 11:57 p.m. |
Created at: April 29, 2026, 8:26 p.m.