Triple
T594053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ricketts family |
E17338
|
entity |
| Predicate | undertook |
P16081
|
FINISHED |
| Object | Wrigley Field renovation |
—
|
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: Wrigley Field renovation | Statement: [Ricketts family, undertook, Wrigley Field renovation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: undertook Context triple: [Ricketts family, undertook, Wrigley Field renovation]
-
A.
underwent
Indicates that an entity experienced or was subjected to a process, event, or change, typically as the patient of an action.
-
B.
undergoing
Indicates that an entity is currently experiencing, being subjected to, or in the process of a particular action, change, or treatment.
-
C.
workedUnder
Indicates that one entity was hierarchically subordinate to and performed work under the supervision or authority of another entity.
-
D.
have
Indicates that one entity possesses, owns, or contains another entity or attribute.
-
E.
achieved
Indicates that an entity successfully reached, obtained, or accomplished a specified goal, result, or state.
- 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_69a49379d09c8190ac7e00b24e2810b1 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49bd15c5881909b59ed4c88687e7b |
completed | March 1, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69a494cd7d3c8190af008acf34a2293b |
completed | March 1, 2026, 7:34 p.m. |
| PDg | Predicate description generation | batch_69a4985ada988190aaea628a9b55bca4 |
completed | March 1, 2026, 7:49 p.m. |
Created at: March 1, 2026, 7:33 p.m.