Triple

T18099220
Position Surface form Disambiguated ID Type / Status
Subject Nostromo E433171 entity
Predicate chiefEngineer P616 FINISHED
Object Parker
Parker is the gruff, pragmatic chief engineer aboard the commercial starship Nostromo in the science fiction horror film "Alien."
 E1305930 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: Parker | Statement: [Nostromo, chiefEngineer, Parker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Parker
Context triple: [Nostromo, chiefEngineer, Parker]
  • A. Parker
    Parker is a 2013 American crime thriller film starring Jason Statham as a professional thief who seeks revenge after being double-crossed by his crew.
  • B. Parker
    Parker is a suburban town in Colorado located along the eastern edge of the Denver metropolitan area.
  • C. Parker
    Parker is a central criminal antihero in the neo-noir crime film "The Way of the Gun," known for his ruthless pragmatism and involvement in a high-stakes kidnapping plot.
  • D. Parker
    Parker is the troubled, tattoo-obsessed protagonist of Flannery O’Connor’s short story “Parker’s Back,” whose spiritual and personal turmoil drive the narrative.
  • E. Parker
    Parker is a common English surname borne by numerous notable individuals across fields such as politics, sports, arts, and science.
  • 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: Parker
Triple: [Nostromo, chiefEngineer, Parker]
Generated description
Parker is the gruff, pragmatic chief engineer aboard the commercial starship Nostromo in the science fiction horror film "Alien."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Parker
Target entity description: Parker is the gruff, pragmatic chief engineer aboard the commercial starship Nostromo in the science fiction horror film "Alien."
  • A. Parker
    Parker is a central criminal antihero in the neo-noir crime film "The Way of the Gun," known for his ruthless pragmatism and involvement in a high-stakes kidnapping plot.
  • B. Parker
    Parker is the troubled, tattoo-obsessed protagonist of Flannery O’Connor’s short story “Parker’s Back,” whose spiritual and personal turmoil drive the narrative.
  • C. Parker
    Parker is a 2013 American crime thriller film starring Jason Statham as a professional thief who seeks revenge after being double-crossed by his crew.
  • D. Parker
    Parker is a suburban town in Colorado located along the eastern edge of the Denver metropolitan area.
  • E. Parker
    Parker is a common English surname borne by numerous notable individuals across fields such as politics, sports, arts, and science.
  • 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_69d8b90916008190a1f110bd7ced5473 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ddb521448190b97d2b2aa7e4d7e6 completed April 19, 2026, 1:50 p.m.
NED1 Entity disambiguation (via context triple) batch_6a035da20f94819090c84d998426fc69 completed May 12, 2026, 5:04 p.m.
NEDg Description generation batch_6a036eced4d48190b09d210a5e301b60 completed May 12, 2026, 6:17 p.m.
NED2 Entity disambiguation (via description) batch_6a036f5fe6a4819087423eeb221179e4 completed May 12, 2026, 6:20 p.m.
Created at: April 10, 2026, 10:27 a.m.