Triple
T3157806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lakers Gaming |
E66027
|
entity |
| Predicate | twitterAccount |
P2943
|
FINISHED |
| Object | @LakersGaming |
E66027
|
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: @LakersGaming | Statement: [Lakers Gaming, twitterAccount, @LakersGaming]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: @LakersGaming Context triple: [Lakers Gaming, twitterAccount, @LakersGaming]
-
A.
Lakers Gaming
chosen
Lakers Gaming is the Los Angeles Lakers’ official esports team that competes in the NBA 2K League.
-
B.
Lakers
The Lakers are the athletic teams representing Roosevelt University in collegiate sports competitions.
-
C.
Nbat
Nbat is the ISO 15924 script code assigned to the ancient Nabataean alphabet used in the Near East.
-
D.
South Bay Lakers
The South Bay Lakers are the Los Angeles Lakers’ NBA G League team, serving as their primary developmental affiliate for emerging players and prospects.
-
E.
Spectrum SportsNet LA
Spectrum SportsNet LA is a regional sports television network dedicated primarily to broadcasting Los Angeles Dodgers games and related team programming.
- 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_69ad85850c1481908a9e9c6242238de2 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada5ec0da88190a83f3448ac76e98e |
completed | March 8, 2026, 4:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2250a682c8190b01e949f27d6932e |
completed | March 12, 2026, 2:29 a.m. |
Created at: March 8, 2026, 3:05 p.m.