Triple

T7309284
Position Surface form Disambiguated ID Type / Status
Subject Amri E168050 entity
Predicate comparedWith P278 FINISHED
Object Nal
Nal is an entity or individual that serves as a point of comparison to Amri, suggesting they share similar characteristics, roles, or contexts.
 E655207 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: Nal | Statement: [Amri, comparedWith, Nal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nal
Context triple: [Amri, comparedWith, Nal]
  • A. Nalik
    Nalik is an Austronesian language spoken by a small community in New Ireland, Papua New Guinea.
  • B. Nel
    Nel is a diminutive form of the given name Cornelia, commonly used as a short or affectionate version of the name.
  • C. Nol
    Nol is the given name of Lon Nol, the Cambodian military leader and politician who served as Prime Minister and later led the Khmer Republic in the early 1970s.
  • D. Naul
    Naul is a small rural village in north County Dublin, Ireland, known for its scenic countryside and historic features such as The Seamus Ennis Arts Centre.
  • E. Nane
    Nane is a Swedish lawyer and artist best known as the widow of former United Nations Secretary-General Kofi Annan.
  • 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: Nal
Triple: [Amri, comparedWith, Nal]
Generated description
Nal is an entity or individual that serves as a point of comparison to Amri, suggesting they share similar characteristics, roles, or contexts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nal
Target entity description: Nal is an entity or individual that serves as a point of comparison to Amri, suggesting they share similar characteristics, roles, or contexts.
  • A. Nalik
    Nalik is an Austronesian language spoken by a small community in New Ireland, Papua New Guinea.
  • B. Nel
    Nel is a diminutive form of the given name Cornelia, commonly used as a short or affectionate version of the name.
  • C. Nol
    Nol is the given name of Lon Nol, the Cambodian military leader and politician who served as Prime Minister and later led the Khmer Republic in the early 1970s.
  • D. Naul
    Naul is a small rural village in north County Dublin, Ireland, known for its scenic countryside and historic features such as The Seamus Ennis Arts Centre.
  • E. Nane
    Nane is a Swedish lawyer and artist best known as the widow of former United Nations Secretary-General Kofi Annan.
  • 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_69c6888d8e3c81909db79714903baf31 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6ebdbd6f481908e69e53dab452656 completed March 27, 2026, 8:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7e567df3c8190a1baaa7ef9c99d87 completed March 28, 2026, 2:27 p.m.
NEDg Description generation batch_69c7e67a988881909b3d53ab8da43a8e completed March 28, 2026, 2:32 p.m.
NED2 Entity disambiguation (via description) batch_69c7e71dc39c8190951424cb543d58df completed March 28, 2026, 2:35 p.m.
Created at: March 27, 2026, 3:01 p.m.