Triple
T23740917
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Plan B (Interstellar) |
E586667
|
entity |
| Predicate | revealedByCharacter |
P141803
|
FINISHED |
| Object | Professor Brand (on his deathbed) |
—
|
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: Professor Brand (on his deathbed) | Statement: [Plan B (Interstellar), revealedByCharacter, Professor Brand (on his deathbed)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: revealedByCharacter Context triple: [Plan B (Interstellar), revealedByCharacter, Professor Brand (on his deathbed)]
-
A.
explainedByCharacter
chosen
Indicates that something (such as an event, situation, or piece of information) is explained or clarified by a particular character.
-
B.
isRevealedTo
Indicates that previously hidden or unknown information becomes known to a specific entity or group.
-
C.
discoveredByFictionalCharacter
Indicates that something (such as an object, place, or concept) is discovered by a fictional character within a narrative.
-
D.
introducedByCharacter
Indicates that one character is responsible for presenting, bringing into the story, or otherwise causing another entity to be first revealed or made known.
-
E.
revealedSecretOf
Indicates that one entity has disclosed or exposed confidential or previously unknown information belonging to another entity.
- 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_69e24908efb08190bf755c3a9b91f222 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1bad61d908190a0a8493bbba95d49 |
completed | April 29, 2026, 8:01 a.m. |
| PD | Predicate disambiguation | batch_69f155f012808190a4b1cbc155558ade |
completed | April 29, 2026, 12:50 a.m. |
Created at: April 17, 2026, 7:11 p.m.