Triple
T14946541
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Backyard Brawl |
E372676
|
entity |
| Predicate | firstMeetingInFootball |
P67857
|
FINISHED |
| Object | 1895 |
—
|
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: 1895 | Statement: [Backyard Brawl, firstMeetingInFootball, 1895]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstMeetingInFootball Context triple: [Backyard Brawl, firstMeetingInFootball, 1895]
-
A.
firstMeetingSport
chosen
Indicates that the entities first met each other in the context of participating in or attending a sporting activity or event.
-
B.
firstMetInLeague
Indicates that the two entities first met each other within the context of a particular league or league competition.
-
C.
firstMeets
Indicates that one entity encounters or comes into contact with another entity for the first time.
-
D.
firstMeetingSeason
Indicates the season of the year during which two entities first met.
-
E.
firstInternationalMatch
Indicates that the match is the first international-level game played by the entity (such as a team or player) in question.
- 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_69d85cca979481908747d2a81eba1cea |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded68e35c481908e47cd68441c5115 |
completed | April 15, 2026, 12:06 a.m. |
| PD | Predicate disambiguation | batch_69de9a588c2c8190b1245a1c406f447c |
completed | April 14, 2026, 7:49 p.m. |
Created at: April 10, 2026, 2:39 a.m.