Triple
T11569468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bryan Habana |
E274346
|
entity |
| Predicate | clubTeam |
P19122
|
FINISHED |
| Object | Golden Lions |
E453811
|
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: Golden Lions | Statement: [Bryan Habana, clubTeam, Golden Lions]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Golden Lions Context triple: [Bryan Habana, clubTeam, Golden Lions]
-
A.
Golden Lions
The Golden Lions are the top prizes awarded for best film at Poland’s prestigious Gdynia Film Festival.
-
B.
Golden Lions
chosen
The Golden Lions are a professional South African rugby union team based in Johannesburg that competes in domestic and international competitions.
-
C.
Golden Bulls
Golden Bulls is the athletic mascot and nickname representing the sports teams of Johnson C. Smith University.
-
D.
The Lions
The Lions is the nickname of Millwall F.C., a professional football club based in South East London known for its passionate fanbase and long-standing presence in English football.
-
E.
The Lions
The Lions is the nickname of Livingston F.C., a professional football club based in Livingston, Scotland.
- 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_69d6aae5ac3c81908d2b0a3a665665b2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d88dd543a48190b834abd8e8ae7b65 |
completed | April 10, 2026, 5:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e6e8dec908819080d97cd33be55b3f |
completed | April 21, 2026, 3:02 a.m. |
Created at: April 8, 2026, 9:37 p.m.