Triple

T14210768
Position Surface form Disambiguated ID Type / Status
Subject Mannam E352221 entity
Predicate hasTitle P38 FINISHED
Object Mannam
Mannam is a term that can refer to various entities, such as a surname, organizations, or places, depending on the context in which it is used.
E1085856 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: Mannam | Statement: [Mannam, hasTitle, Mannam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mannam
Context triple: [Mannam, hasTitle, Mannam]
  • A. Mannam
    Mannam is a musical composition by Mexican composer Javier Álvarez, known for his innovative use of contemporary techniques and often electroacoustic elements.
  • B. Mannanan
    Mannanan is a high-speed catamaran ferry operated by the Isle of Man Steam Packet Company on routes linking the Isle of Man with ports in the British Isles.
  • C. Mannum
    Mannum is a historic riverside town in South Australia's Murraylands region, known for its paddle-steamer heritage and role in early river trade along the Murray River.
  • D. Man’en
    Man’en was a short Japanese era of the late Edo period that followed Ansei and preceded Bunkyū during the reign of Emperor Kōmei.
  • E. Mangin
    Mangin is a French surname borne by various notable figures, including military leaders, politicians, and artists.
  • 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: Mannam
Triple: [Mannam, hasTitle, Mannam]
Generated description
Mannam is a term that can refer to various entities, such as a surname, organizations, or places, depending on the context in which it is used.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mannam
Target entity description: Mannam is a term that can refer to various entities, such as a surname, organizations, or places, depending on the context in which it is used.
  • A. Mannam
    Mannam is a musical composition by Mexican composer Javier Álvarez, known for his innovative use of contemporary techniques and often electroacoustic elements.
  • B. Mannanan
    Mannanan is a high-speed catamaran ferry operated by the Isle of Man Steam Packet Company on routes linking the Isle of Man with ports in the British Isles.
  • C. Mannum
    Mannum is a historic riverside town in South Australia's Murraylands region, known for its paddle-steamer heritage and role in early river trade along the Murray River.
  • D. Man’en
    Man’en was a short Japanese era of the late Edo period that followed Ansei and preceded Bunkyū during the reign of Emperor Kōmei.
  • E. Mangin
    Mangin is a French surname borne by various notable figures, including military leaders, politicians, and artists.
  • 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_69d8278a06e481908b5d6af0a8afe737 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de620dba0c8190bb77a1df10e1d3a7 completed April 14, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd19574280819091bafd95a75983bf completed May 7, 2026, 10:59 p.m.
NEDg Description generation batch_69fd1a231cbc819083d38e25073892bf completed May 7, 2026, 11:02 p.m.
NED2 Entity disambiguation (via description) batch_69fd1ada47788190afcf8078d76ef339 completed May 7, 2026, 11:06 p.m.
Created at: April 10, 2026, 1:05 a.m.