Triple

T13594401
Position Surface form Disambiguated ID Type / Status
Subject Alex Forrest E324777 entity
Predicate hasRelationshipWith P2830 FINISHED
Object Dan Gallagher E1031880 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: Dan Gallagher | Statement: [Alex Forrest, hasRelationshipWith, Dan Gallagher]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dan Gallagher
Context triple: [Alex Forrest, hasRelationshipWith, Dan Gallagher]
  • A. Dan Gallagher chosen
    Dan Gallagher is the married New York lawyer and central male protagonist whose affair with Alex Forrest drives the plot of the 1987 thriller film "Fatal Attraction."
  • B. Tom Gallagher
    Tom Gallagher is an American politician and Republican who served in several key Florida statewide offices, including as the state's insurance commissioner and treasurer.
  • C. Brian Gallagher
    Brian Gallagher is an American actor and musician best known as the husband of Broadway and television star Megan Hilty.
  • D. Carl Gallagher
    Carl Gallagher is a troublemaking yet surprisingly resourceful youngest son of the Gallagher family in the U.S. version of the dramedy series "Shameless."
  • E. Jeff Grogan
    Jeff Grogan is a television and film producer best known for his work as an executive producer on the series "Intervention."
  • 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_69d80769eaf081909d82f44e484d6113 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb057f1c881909a3bb77c659a724a completed April 12, 2026, 2:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5bad771881908280e3d96be068fc completed May 8, 2026, 3:42 a.m.
Created at: April 9, 2026, 9:49 p.m.