Triple
T15368342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Empire State |
E367473
|
entity |
| Predicate | starring |
P1507
|
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: [Empire State, starring, Liam Hemsworth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Liam Hemsworth Context triple: [Empire State, starring, 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.
Luke Hemsworth
Luke Hemsworth is an Australian actor best known for his role as Ashley Stubbs in the HBO science-fiction series "Westworld."
-
C.
Sasha Hemsworth
Sasha Hemsworth is one of the twin sons of Australian actor Chris Hemsworth and Spanish actress Elsa Pataky.
-
D.
Taylor Lautner
Taylor Lautner is an American actor best known for playing werewolf Jacob Black in the Twilight film series.
-
E.
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.
- 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_69d85a1483788190ad93c2748e8af34b |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e4a7cdc8190b7b48c97e774c306 |
completed | April 16, 2026, 1:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff219863b48190a68e73c85e27472c |
completed | May 9, 2026, 11:59 a.m. |
Created at: April 10, 2026, 3:18 a.m.