Triple
T18642091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Genesis Invitational |
E455712
|
entity |
| Predicate | organizer |
P123
|
FINISHED |
| Object | TGR Live |
—
|
NE NERFINISHED |
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: TGR Live | Statement: [The Genesis Invitational, organizer, TGR Live]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TGR Live Context triple: [The Genesis Invitational, organizer, TGR Live]
-
A.
TGR
TGR is the station code for Tuggerah railway station on the Central Coast of New South Wales, Australia.
-
B.
TGR
TGR is the acronym for Chile’s Tesorería General de la República, the public institution responsible for managing and safeguarding the central government’s financial resources and tax revenues.
-
C.
TGR Learning Lab Anaheim
chosen
TGR Learning Lab Anaheim is an educational center created by the TGR Foundation that provides underserved youth with hands-on STEM, college-access, and career-readiness programs.
-
D.
TGR Foundation
TGR Foundation is a charitable organization focused on providing educational opportunities and support to underserved youth, established by professional golfer Tiger Woods.
-
E.
TGS
TGS is the central administrative and academic unit overseeing graduate education and research programs at Northwestern University.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d38ea1e88190997e9b231190ba6f |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54fcd6da081908030b052727f2c2f |
completed | April 19, 2026, 9:57 p.m. |
Created at: April 10, 2026, 11:47 a.m.