Triple

T16091530
Position Surface form Disambiguated ID Type / Status
Subject In the Land of Women E390368 entity
Predicate stars P1956 FINISHED
Object Dustin Milligan E323819 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: Dustin Milligan | Statement: [In the Land of Women, stars, Dustin Milligan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dustin Milligan
Context triple: [In the Land of Women, stars, Dustin Milligan]
  • A. Dustin Milligan chosen
    Dustin Milligan is a Canadian actor best known for his roles in the TV series 90210 and the comedy Schitt's Creek.
  • B. Nate Dushku
    Nate Dushku is an American film producer and occasional actor, best known for his work behind the scenes and as the brother of actress Eliza Dushku.
  • C. Drew Ballinger
    Drew Ballinger is a fictional character from the 1972 film "Deliverance," known as one of the four men whose canoe trip in rural Georgia turns into a harrowing fight for survival.
  • D. Chad Michael Murray
    Chad Michael Murray is an American actor and former fashion model best known for his leading role as Lucas Scott on the television series "One Tree Hill" and appearances in early 2000s teen films and dramas.
  • E. Ethan Embry
    Ethan Embry is an American actor known for his roles in 1990s films such as "Empire Records," "Can't Hardly Wait," and various television 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_69d87f198bc48190a8b7e53ca15b7ead completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e1858d1264819099434d7201614d05 completed April 17, 2026, 12:57 a.m.
NED1 Entity disambiguation (via context triple) batch_6a001f8174648190a44a2605a77c859d completed May 10, 2026, 6:02 a.m.
Created at: April 10, 2026, 4:59 a.m.