Triple
T15973124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zuma |
E387371
|
entity |
| Predicate | friend |
P8712
|
FINISHED |
| Object | Tracker |
E1186676
|
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: Tracker | Statement: [Zuma, friend, Tracker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tracker Context triple: [Zuma, friend, Tracker]
-
A.
Tracker
Tracker is the sharp-tongued, preternaturally gifted hunter and narrator at the center of Marlon James’s fantasy novel "Black Leopard, Red Wolf."
-
B.
Tracker
chosen
Tracker is a jungle-dwelling PAW Patrol pup known for his keen hearing, adventurous spirit, and role as the team's off-road and wilderness expert.
-
C.
Trackers
Trackers is a South African crime thriller television series that intertwines organized crime, terrorism, and covert operations across multiple storylines.
-
D.
TRACE
TRACE is a U.S. Financial Industry Regulatory Authority (FINRA) system that provides real-time public reporting and transparency for over-the-counter corporate bond and other fixed-income securities transactions.
-
E.
Tracklacers
Tracklacers is a music production team known for working on pop and R&B records, including tracks on Christina Aguilera’s album "Lotus."
- 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_69d86da94ccc819083d187f5dc6a123e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1572a8fd8819092ae1766324b1345 |
completed | April 16, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffe46f19f48190a33647c711893564 |
completed | May 10, 2026, 1:50 a.m. |
Created at: April 10, 2026, 4:54 a.m.