Triple

T16297922
Position Surface form Disambiguated ID Type / Status
Subject Anne Archer E395697 entity
Predicate actedIn P1668 FINISHED
Object Lifeguard
Lifeguard is a 1976 American drama film about a veteran beach lifeguard facing a midlife crisis and questioning his life choices.
E1206151 NE FINISHED

How this triple was built (4 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: Lifeguard | Statement: [Anne Archer, actedIn, Lifeguard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lifeguard
Context triple: [Anne Archer, actedIn, Lifeguard]
  • A. Sink or Swim
    "Sink or Swim" is the 2007 debut studio album by American rock band The Gaslight Anthem, blending punk energy with heartland rock influences.
  • B. Outlet Beach
    Outlet Beach is a popular sandy swimming beach located within Sandbanks Provincial Park in Ontario, Canada.
  • C. Dolphin Plunge
    Dolphin Plunge is a signature water slide attraction at Aquatica Orlando where riders speed through clear underwater tubes surrounded by playful dolphins.
  • D. Baywatch
    Baywatch is a popular American television series centered on the dramatic and action-filled lives of Los Angeles County lifeguards patrolling the beaches of Southern California.
  • E. The Pool
    The Pool is an interactive light installation by artist Jen Lewin composed of large, touch-sensitive circular pads that respond to movement with shifting colors and patterns.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Lifeguard
Triple: [Anne Archer, actedIn, Lifeguard]
Generated description
Lifeguard is a 1976 American drama film about a veteran beach lifeguard facing a midlife crisis and questioning his life choices.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lifeguard
Target entity description: Lifeguard is a 1976 American drama film about a veteran beach lifeguard facing a midlife crisis and questioning his life choices.
  • A. Sink or Swim
    "Sink or Swim" is the 2007 debut studio album by American rock band The Gaslight Anthem, blending punk energy with heartland rock influences.
  • B. Outlet Beach
    Outlet Beach is a popular sandy swimming beach located within Sandbanks Provincial Park in Ontario, Canada.
  • C. Dolphin Plunge
    Dolphin Plunge is a signature water slide attraction at Aquatica Orlando where riders speed through clear underwater tubes surrounded by playful dolphins.
  • D. Baywatch
    Baywatch is a popular American television series centered on the dramatic and action-filled lives of Los Angeles County lifeguards patrolling the beaches of Southern California.
  • E. The Pool
    The Pool is an interactive light installation by artist Jen Lewin composed of large, touch-sensitive circular pads that respond to movement with shifting colors and patterns.
  • F. None of above. chosen

Provenance (5 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_69d87f23bb088190a16fbb91a1957ea5 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e25e2f486c8190b73c15f59335cde2 completed April 17, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a001f9d7ef48190b7acebebcb9608c3 completed May 10, 2026, 6:03 a.m.
NEDg Description generation batch_6a0021459c4081908e4c1d2e0bc8a5be completed May 10, 2026, 6:10 a.m.
NED2 Entity disambiguation (via description) batch_6a002221fe7c819083c8ede5e63b0908 completed May 10, 2026, 6:13 a.m.
Created at: April 10, 2026, 5:06 a.m.