Triple
T4170147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Infinite Improbability Drive |
E84542
|
entity |
| Predicate | firstCreatorRole |
P54488
|
FINISHED |
| Object | author |
—
|
LITERAL 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: author | Statement: [Infinite Improbability Drive, firstCreatorRole, author]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstCreatorRole Context triple: [Infinite Improbability Drive, firstCreatorRole, author]
-
A.
founderRole
Indicates that an entity serves as a founder in relation to another entity, specifying the role or capacity in which they established it.
-
B.
firstContributor
Indicates that the subject is the earliest or initial contributor to the object within a given context or project.
-
C.
foundingRole
Indicates the specific role or capacity an entity held in the founding or establishment of another entity.
-
D.
firstCreatedAt
Indicates the time or date at which an entity was initially created for the first time.
-
E.
firstDefinedBy
Indicates that one entity is the original source that formally introduced, specified, or defined another entity.
- 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_69aed932cab48190b80ffe35f7029ae1 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af02c87cc88190a9ec3712db18a8a7 |
completed | March 9, 2026, 5:26 p.m. |
| PD | Predicate disambiguation | batch_69af018fb0948190a9701b2e8e5d9bac |
completed | March 9, 2026, 5:21 p.m. |
| PDg | Predicate description generation | batch_69af01ee94ec8190aa6dde54d4571c04 |
completed | March 9, 2026, 5:22 p.m. |
Created at: March 9, 2026, 3:44 p.m.