Triple
T9994859
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chris Hemsworth |
E197177
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object | Liam Hemsworth |
E553967
|
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: Liam Hemsworth | Statement: [Chris Hemsworth, sibling, Liam Hemsworth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Liam Hemsworth Context triple: [Chris Hemsworth, sibling, Liam Hemsworth]
-
A.
Liam Hemsworth
chosen
Liam Hemsworth is an Australian actor known for his role as Gale Hawthorne in "The Hunger Games" film series and for his high-profile relationship with singer Miley Cyrus.
-
B.
Taylor Lautner
Taylor Lautner is an American actor best known for playing werewolf Jacob Black in the Twilight film series.
-
C.
Zac Efron
Zac Efron is an American actor and singer who rose to fame with Disney’s "High School Musical" series and has since starred in a variety of film and television roles.
-
D.
Kellan Lutz
Kellan Lutz is an American actor and model best known for playing the vampire Emmett Cullen in the Twilight film series.
-
E.
Josh Hutcherson
Josh Hutcherson is an American actor best known for his role as Peeta Mellark in "The Hunger Games" film 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_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_69d258336ab8819098d4878b8c106d86 |
completed | April 5, 2026, 12:40 p.m. |
Created at: March 30, 2026, 8:50 p.m.