Triple
T13793663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Drogas Light |
E331459
|
entity |
| Predicate | recordLabel |
P1500
|
FINISHED |
| Object | Thirty Tigers |
E702582
|
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: Thirty Tigers | Statement: [Drogas Light, recordLabel, Thirty Tigers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thirty Tigers Context triple: [Drogas Light, recordLabel, Thirty Tigers]
-
A.
Thirty Tigers
chosen
Thirty Tigers is an independent entertainment company and music label services firm known for partnering with artists and small labels to distribute and market their releases.
-
B.
Golden Tigers
Golden Tigers is the athletic mascot and nickname representing Brenau University's sports teams.
-
C.
Golden Tigers
The Golden Tigers are the athletic teams representing Tuskegee University in intercollegiate sports.
-
D.
Tigers of Shanghai
Tigers of Shanghai is a professional esports team associated with the Gen.G organization, known for competing in high-level competitive gaming tournaments.
-
E.
The Tiger Among Us
The Tiger Among Us is a hardboiled crime novel by Leigh Brackett that blends gritty noir atmosphere with psychological tension in a story of murder and moral ambiguity.
- 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_69d81c58feb08190a77bca8bf7d6d20f |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0259b0e4819081c11ced694384fb |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b083387081909c6f4beb0e12cf36 |
completed | May 3, 2026, 8:30 p.m. |
Created at: April 9, 2026, 10:11 p.m.