Triple
T31233534
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charlie Chan in Honolulu |
E796350
|
entity |
| Predicate | predecessorActorInRoleOfCharlieChan |
P52433
|
FINISHED |
| Object | Warner Oland |
—
|
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: Warner Oland | Statement: [Charlie Chan in Honolulu, predecessorActorInRoleOfCharlieChan, Warner Oland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: predecessorActorInRoleOfCharlieChan Context triple: [Charlie Chan in Honolulu, predecessorActorInRoleOfCharlieChan, Warner Oland]
-
A.
predecessorRealName
Indicates that one entity is the real (actual) name of the predecessor of another entity.
-
B.
leadCharacterPreviouslyAppearedIn
Indicates that the lead character of the current work has appeared before in a prior work or context.
-
C.
formerCharacter
Indicates that an entity was once a character in a work or series but is no longer an active or current character.
-
D.
previouslyPortrayedBy
chosen
Indicates that the subject entity was portrayed in the past by the specified actor or performer.
-
E.
actorForCharacterSheriffGilCorrigan
Indicates that an entity is the actor who portrays the character Sheriff Gil Corrigan.
- F. None of above.
Provenance (3 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_69f224db69ac81909a370adad6a7ac7c |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fcab6e888881908ca9e18660928a40 |
completed | May 7, 2026, 3:10 p.m. |
| PD | Predicate disambiguation | batch_69fc4562a5b88190bad48f083a6dcdfa |
completed | May 7, 2026, 7:55 a.m. |
Created at: April 29, 2026, 9:10 p.m.