Triple
T1535398
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maya Moore |
E32538
|
entity |
| Predicate | memberOfSportsTeam |
P330
|
FINISHED |
| Object | Minnesota Lynx |
E29594
|
NE 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: Minnesota Lynx | Statement: [Maya Moore, memberOfSportsTeam, Minnesota Lynx]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Minnesota Lynx Context triple: [Maya Moore, memberOfSportsTeam, Minnesota Lynx]
-
A.
Minnesota Lynx
chosen
The Minnesota Lynx are a professional women's basketball team in the WNBA known for their multiple championships and dominant run in the 2010s.
-
B.
Washington Mystics
The Washington Mystics are a professional women's basketball team based in Washington, D.C., competing in the WNBA.
-
C.
Dallas Wings
The Dallas Wings are a professional women's basketball team in the WNBA based in the Dallas–Fort Worth area.
-
D.
Seattle Storm
The Seattle Storm is a professional women's basketball team competing in the WNBA and based in Seattle, Washington.
-
E.
Los Angeles Sparks
The Los Angeles Sparks are a professional women's basketball team based in Los Angeles that competes in the WNBA and is known as one of the league's most successful and storied franchises.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a885ea86308190998f6bc14bb91f8e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a90828cdf08190aa404a0c11335c7b |
completed | March 5, 2026, 4:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad68079e448190b71c2cd194abeb86 |
completed | March 8, 2026, 12:13 p.m. |
Created at: March 4, 2026, 7:26 p.m.