Triple
T8421615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mars Attacks! |
E198867
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Lukas Haas |
E47800
|
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: Lukas Haas | Statement: [Mars Attacks!, castMember, Lukas Haas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lukas Haas Context triple: [Mars Attacks!, castMember, Lukas Haas]
-
A.
Lukas Haas
chosen
Lukas Haas is an American actor known for his early breakthrough role in "Witness" (1985) and a diverse career spanning independent films and major Hollywood productions.
-
B.
Lukas Heller
Lukas Heller was a German-born British screenwriter best known for his work on psychological thrillers and film adaptations in the 1960s and 1970s.
-
C.
Lucas Akoskin
Lucas Akoskin is an Argentine film and television producer known for his work on international co-productions and for his marriage to actress Leonor Varela.
-
D.
Nicholas Braun
Nicholas Braun is an American actor best known for his Emmy-nominated portrayal of Cousin Greg Hirsch on the HBO series "Succession."
-
E.
Jonas Saur
Jonas Saur was an early 17th-century printer known for producing Johannes Kepler’s influential astronomical work, the Rudolphine Tables.
- 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_69ca8312d63c8190bf133b676b44a385 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cb84ca7b348190abab25e79b05407f |
completed | March 31, 2026, 8:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce035279f48190861b97167fa3882c |
completed | April 2, 2026, 5:49 a.m. |
Created at: March 30, 2026, 6:06 p.m.