Triple
T27102104
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marshall College |
E686467
|
entity |
| Predicate | franchisePrimaryDirector |
P146700
|
FINISHED |
| Object | Steven Spielberg |
—
|
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: Steven Spielberg | Statement: [Marshall College, franchisePrimaryDirector, Steven Spielberg]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: franchisePrimaryDirector Context triple: [Marshall College, franchisePrimaryDirector, Steven Spielberg]
-
A.
hasAssociatedFranchiseViaDirector
chosen
Indicates that an entity is associated with a franchise through the involvement of a director who connects the entity to that franchise.
-
B.
foundingDirector
Indicates that one entity is the original director who established or helped establish the other entity (such as an organization, project, or institution).
-
C.
workedAsDirectorFor
Indicates that one entity held the role of director in relation to another entity, such as an organization, project, or production.
-
D.
franchiseCreatorOf
Indicates that an entity is the original creator or originator of a particular franchise.
-
E.
directorFullName
Indicates that the predicate specifies the complete name of the person who serves as the director in the described relationship or context.
- 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_69ef1489f8b481908e24a1985982bd26 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f643ed0b7481908cf25f3afec0a61d |
completed | May 2, 2026, 6:35 p.m. |
| PD | Predicate disambiguation | batch_69f641dc8ff48190ab575d855616580c |
completed | May 2, 2026, 6:26 p.m. |
Created at: April 27, 2026, 8:48 a.m.