Triple
T9994849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chris Hemsworth |
E197177
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object | Christopher Hemsworth |
E197177
|
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: Christopher Hemsworth | Statement: [Chris Hemsworth, birthName, Christopher Hemsworth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Christopher Hemsworth Context triple: [Chris Hemsworth, birthName, Christopher Hemsworth]
-
A.
Chris Hemsworth
chosen
Chris Hemsworth is an Australian actor best known for portraying the Marvel superhero Thor in the Marvel Cinematic Universe films.
-
B.
Tom Hiddleston
Tom Hiddleston is an English actor best known for his charismatic portrayal of Loki in the Marvel Cinematic Universe and for acclaimed performances in film, television, and theatre.
-
C.
Hemsworth
Hemsworth is a parliamentary constituency in West Yorkshire, England, represented in the UK House of Commons.
-
D.
James Norman Hiddleston
James Norman Hiddleston is the father of British actor Tom Hiddleston and is known as a Scottish-born chemist and former managing director in the pharmaceutical industry.
-
E.
Alexander Skarsgård
Alexander Skarsgård is a Swedish actor known for his roles in projects such as "True Blood," "Big Little Lies," and various major film and television productions.
- 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_69ca82f3b61c81908ecc2c1c96dbc2e4 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdcb99ac74819091f20816478ea375 |
completed | April 2, 2026, 1:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d26a2bc4f081909595afcc2c862eda |
completed | April 5, 2026, 1:56 p.m. |
Created at: March 30, 2026, 8:50 p.m.