Triple
T18571182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steve Tikolo |
E453875
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Steve Tikolo |
—
|
NE NERFINISHED |
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: Steve Tikolo | Statement: [Steve Tikolo, name, Steve Tikolo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steve Tikolo Context triple: [Steve Tikolo, name, Steve Tikolo]
-
A.
Steve Tikolo
chosen
Steve Tikolo is a former Kenyan cricketer widely regarded as one of the greatest players to emerge from Associate nations and a key figure in Kenya’s rise on the international stage.
-
B.
Sam Bockarie
Sam Bockarie was a notorious Sierra Leonean rebel commander and key leader of the Revolutionary United Front, implicated in extensive war crimes and atrocities during the country's civil conflict.
-
C.
Phil Gubala
Phil Gubala is a notable resident associated with the community of Affton, Missouri.
-
D.
Tafi Abuife
Tafi Abuife is a village where the Tafi language is traditionally spoken, likely located in the Volta Region of Ghana.
-
E.
Joe Tiboni
Joe Tiboni is a screenwriter best known for co-writing the critically acclaimed independent film "Win Win."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d38974308190a9174430ef256b73 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e53b021ea4819095fe06be88e74133 |
completed | April 19, 2026, 8:28 p.m. |
Created at: April 10, 2026, 11:43 a.m.