Triple
T35809829
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Game |
E1035198
|
entity |
| Predicate | associatedWithMove |
P206065
|
FINISHED |
| Object | Pedigree |
—
|
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: Pedigree | Statement: [The Game, associatedWithMove, Pedigree]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithMove Context triple: [The Game, associatedWithMove, Pedigree]
-
A.
associatedWithMovement
Indicates a relationship where an entity is connected to, involved in, or influenced by a particular movement (e.g., social, political, artistic, or ideological).
-
B.
associatedWithConferenceMove
Indicates a relationship where an entity is linked to or involved in the relocation or change of a conference.
-
C.
associatedWithMatch
Indicates a relationship where an entity is linked or connected to a particular match or matching event.
-
D.
associatedWithMigration
Indicates a relationship or connection between entities that is linked to, results from, or occurs in the context of migration.
-
E.
associatedWithFranchiseMove
Indicates a relationship where an entity is connected to or involved in the relocation or transfer of a franchise from one place or ownership context to another.
- 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_69f76e1762408190b885a8456862e372 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037ce70f54819082946dad8d380825 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a069e6c8190857b611fffb7b867 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037ce53de881908cf14141cf3bc570 |
completed | May 12, 2026, 7:17 p.m. |
Created at: May 3, 2026, 4:06 p.m.