Triple
T29214475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eleventh United States decennial census |
E740627
|
entity |
| Predicate | computingPioneerInvolved |
P2809
|
FINISHED |
| Object | Herman Hollerith |
—
|
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: Herman Hollerith | Statement: [Eleventh United States decennial census, computingPioneerInvolved, Herman Hollerith]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: computingPioneerInvolved Context triple: [Eleventh United States decennial census, computingPioneerInvolved, Herman Hollerith]
-
A.
pioneerOf
chosen
Indicates that an entity was among the first to develop, introduce, or significantly advance another entity, concept, or practice.
-
B.
hasInventorRoleOf
Indicates that an entity holds or fulfills the role of inventor with respect to another entity (such as an invention, patent, or creative work).
-
C.
notableEngineerAssociated
Indicates a relationship where a notable engineer is connected or linked to a particular entity, such as an organization, project, or product, through involvement or association.
-
D.
notableInventor
Indicates that the subject is a well-known or historically significant inventor of the object.
-
E.
receivedTuringAwardWith
Indicates that two or more entities jointly received the Turing Award in the same year or for the same recognized contribution.
- 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_69f07cba2f808190a2746477d4e8345b |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69f66408d068819082a94491d663bff2 |
completed | May 2, 2026, 8:52 p.m. |
| PD | Predicate disambiguation | batch_69f65c24f8b48190af81b575f3c15be5 |
completed | May 2, 2026, 8:18 p.m. |
Created at: April 28, 2026, 12:12 p.m.