Triple

T3273816
Position Surface form Disambiguated ID Type / Status
Subject Elisabeth Moss E68711 entity
Predicate familyName P18 FINISHED
Object Moss
Moss is a common English surname borne by numerous notable individuals across fields such as acting, sports, and politics.
E341447 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: Moss | Statement: [Elisabeth Moss, familyName, Moss]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moss
Context triple: [Elisabeth Moss, familyName, Moss]
  • A. Moss
    Moss is a coastal town and municipality in southeastern Norway known for its industrial history, cultural life, and role as a regional hub in Østfold.
  • B. Moss
    Moss is a masculine given name most notably borne by American playwright and director Moss Hart.
  • C. Shadowmoss
    Shadowmoss is a tram stop on the Manchester Metrolink network in the Wythenshawe area of Greater Manchester, England.
  • D. Ledum Mitee
    Ledum Mitee is a Nigerian human rights lawyer and activist known for his leadership in the Movement for the Survival of the Ogoni People (MOSOP) and advocacy for environmental and minority rights in the Niger Delta.
  • E. Bracken
    Bracken is a surname of Scottish and Irish origin borne by various notable individuals, including poet and politician Thomas Bracken.
  • 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: Moss
Triple: [Elisabeth Moss, familyName, Moss]
Generated description
Moss is a common English surname borne by numerous notable individuals across fields such as acting, sports, and politics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Moss
Target entity description: Moss is a common English surname borne by numerous notable individuals across fields such as acting, sports, and politics.
  • A. Moss
    Moss is a coastal town and municipality in southeastern Norway known for its industrial history, cultural life, and role as a regional hub in Østfold.
  • B. Moss
    Moss is a masculine given name most notably borne by American playwright and director Moss Hart.
  • C. Shadowmoss
    Shadowmoss is a tram stop on the Manchester Metrolink network in the Wythenshawe area of Greater Manchester, England.
  • D. Ledum Mitee
    Ledum Mitee is a Nigerian human rights lawyer and activist known for his leadership in the Movement for the Survival of the Ogoni People (MOSOP) and advocacy for environmental and minority rights in the Niger Delta.
  • E. Bracken
    Bracken is a surname of Scottish and Irish origin borne by various notable individuals, including poet and politician Thomas Bracken.
  • 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_69ad859b54f881909bf530d549caf2fd completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adaff74af88190809313743b439ff0 completed March 8, 2026, 5:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69b28f0a71d48190a5e673aed011f218 completed March 12, 2026, 10:01 a.m.
NEDg Description generation batch_69b28fe1a32c8190a22e4218d23d12f1 completed March 12, 2026, 10:05 a.m.
NED2 Entity disambiguation (via description) batch_69b2a8b873b081909bbb5de329e45169 completed March 12, 2026, 11:51 a.m.
Created at: March 8, 2026, 3:10 p.m.