Triple
T11130046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sarah Harding |
E263251
|
entity |
| Predicate | worksWith |
P398
|
FINISHED |
| Object | Roland Tembo |
E275584
|
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: Roland Tembo | Statement: [Sarah Harding, worksWith, Roland Tembo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roland Tembo Context triple: [Sarah Harding, worksWith, Roland Tembo]
-
A.
Roland Tembo
chosen
Roland Tembo is a seasoned big-game hunter hired to lead the InGen expedition on Isla Sorna in the film "The Lost World: Jurassic Park."
-
B.
Changamire Dombo
Changamire Dombo was a powerful 17th-century Shona ruler in southern Africa who established a dominant regional state that became known as the Rozvi Empire.
-
C.
Tatenda Taibu
Tatenda Taibu is a former Zimbabwean cricketer and wicket-keeper who became the youngest Test captain in history and a key figure in Zimbabwe’s national team in the 2000s.
-
D.
Sabata Dalindyebo
Sabata Dalindyebo was a prominent South African traditional leader and king of the Thembu people who became known for his resistance to apartheid-era policies.
-
E.
Tongayi Chirisa
Tongayi Chirisa is a Zimbabwean actor known for his work in American television and film, including prominent roles in comedy and drama series.
- 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_69d6aa9c0ba08190bbd19c217489b755 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e831f4808190afabdaa0e97bbe32 |
completed | April 9, 2026, 5:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e441dcb4608190a4cfa46c194d11ae |
completed | April 19, 2026, 2:45 a.m. |
Created at: April 8, 2026, 9:28 p.m.