Triple
T15495090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Ricketts |
E378795
|
entity |
| Predicate | roleInVenue |
P66032
|
FINISHED |
| Object | led modernization and preservation of Wrigley Field |
—
|
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: led modernization and preservation of Wrigley Field | Statement: [Tom Ricketts, roleInVenue, led modernization and preservation of Wrigley Field]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInVenue Context triple: [Tom Ricketts, roleInVenue, led modernization and preservation of Wrigley Field]
-
A.
roleInScene
Indicates that an entity participates in a particular scene with a specific role or function within that scene.
-
B.
homeVenueEntranceRole
Indicates the role or function an entity has at the entrance of a home venue (e.g., as an access point, control point, or designated entry location).
-
C.
notableVenueRole
chosen
Indicates that an entity holds or has held a significant functional role or position at a particular venue or location.
-
D.
audienceRole
Indicates the role or function an entity has as part of an audience in relation to another entity or event.
-
E.
locatedInVenueType
Indicates that an entity is situated within or associated with a venue of a specific type (e.g., stadium, theater, restaurant).
- 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_69d85cd53a7c819080f5b9042c4c199e |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03faecd60819091eeaa56c9c8f67d |
completed | April 16, 2026, 1:47 a.m. |
| PD | Predicate disambiguation | batch_69ded2874b788190999158e0f043be21 |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 3:51 a.m.