Triple

T9436662
Position Surface form Disambiguated ID Type / Status
Subject Colleen Sterns Reagan E227525 entity
Predicate hasMaidenName P36176 FINISHED
Object Sterns
Sterns is the maiden surname of Colleen Sterns Reagan, used before her marriage.
 E799729 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: Sterns | Statement: [Colleen Sterns Reagan, hasMaidenName, Sterns]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sterns
Context triple: [Colleen Sterns Reagan, hasMaidenName, Sterns]
  • A. Morskranes
    Morskranes is a small coastal village on the Faroe Islands’ island of Eysturoy, known for its traditional fishing heritage and scenic North Atlantic setting.
  • B. Gulls
    "Gulls" is a play by British dramatist Nick Dear, known for its sharp character study and exploration of personal relationships and emotional isolation.
  • C. Sterne
    Sterne is a photographic series by German artist Thomas Ruff that features large-scale, high-contrast images of star fields derived from astronomical observatory negatives.
  • D. Seagull
    "Seagull" is a track from Bill Callahan’s 2013 album *Dream River*, known for its atmospheric, introspective folk sound and poetic lyricism.
  • E. Starling
    Starling is a surname of English origin borne by various notable individuals across fields such as science, politics, and the arts.
  • 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: Sterns
Triple: [Colleen Sterns Reagan, hasMaidenName, Sterns]
Generated description
Sterns is the maiden surname of Colleen Sterns Reagan, used before her marriage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sterns
Target entity description: Sterns is the maiden surname of Colleen Sterns Reagan, used before her marriage.
  • A. Morskranes
    Morskranes is a small coastal village on the Faroe Islands’ island of Eysturoy, known for its traditional fishing heritage and scenic North Atlantic setting.
  • B. Gulls
    "Gulls" is a play by British dramatist Nick Dear, known for its sharp character study and exploration of personal relationships and emotional isolation.
  • C. Sterne
    Sterne is a photographic series by German artist Thomas Ruff that features large-scale, high-contrast images of star fields derived from astronomical observatory negatives.
  • D. Seagull
    "Seagull" is a track from Bill Callahan’s 2013 album *Dream River*, known for its atmospheric, introspective folk sound and poetic lyricism.
  • E. Starling
    Starling is a surname of English origin borne by various notable individuals across fields such as science, politics, and the arts.
  • 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_69ca8437a7ac81908651de48f2d2141d completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd7ede1e148190b5793863a851c92c completed April 1, 2026, 8:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1104ed8d081909acb08b13cf35555 completed April 4, 2026, 1:21 p.m.
NEDg Description generation batch_69d111a770c881909a2902d36cd7913c completed April 4, 2026, 1:27 p.m.
NED2 Entity disambiguation (via description) batch_69d112634fb48190b4c7e9d997d27928 completed April 4, 2026, 1:30 p.m.
Created at: March 30, 2026, 7:50 p.m.