Triple
T15224222
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steve Bartman |
E363834
|
entity |
| Predicate | leftStadium |
P117620
|
FINISHED |
| Object | escorted by security |
—
|
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: escorted by security | Statement: [Steve Bartman, leftStadium, escorted by security]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leftStadium Context triple: [Steve Bartman, leftStadium, escorted by security]
-
A.
mainStadium
Indicates that a particular stadium serves as the primary or home stadium associated with an entity (such as a team, club, or organization).
-
B.
stadiumUsedFor
Indicates that a particular stadium is used for a specific activity, event, or purpose.
-
C.
homeStadium
Indicates that a particular stadium serves as the primary venue where a sports team plays its home games.
-
D.
hostStadium
Indicates that a particular stadium serves as the venue where an event, team, or competition is hosted.
-
E.
hostTeamStadium
Indicates that a particular team plays its home games at a specified stadium.
- 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_69d85a0ce24c81909c4d3b6475548c95 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0078a9318819081db3b7bcc28e04f |
completed | April 15, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69deca8479188190b2e5d3bc708d7d07 |
completed | April 14, 2026, 11:15 p.m. |
| PDg | Predicate description generation | batch_69decf2ca6148190967c319728ec3661 |
completed | April 14, 2026, 11:35 p.m. |
Created at: April 10, 2026, 3:12 a.m.