Triple

T19962732
Position Surface form Disambiguated ID Type / Status
Subject The Falling Soldier E479854 entity
Predicate publisher P29 FINISHED
Object Vu
Vu is a French illustrated magazine known for its pioneering use of photojournalism and influential coverage of political and social events in the early 20th century.
 E1404761 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: Vu | Statement: [The Falling Soldier, publisher, Vu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vu
Context triple: [The Falling Soldier, publisher, Vu]
  • A. Ven
    Ven is a small Swedish island in the Øresund Strait, known for its scenic landscapes, cycling paths, and historical association with astronomer Tycho Brahe.
  • B. Va
    Va is the autonym of the Wa people, an ethnic group primarily inhabiting the mountainous border regions of Myanmar and China.
  • C. Vin
    Vin is a common shortened form of the given name Vincent, often used as an informal or familiar nickname.
  • D. Vao
    Vao is the main village and administrative center of the Île des Pins in New Caledonia, known for its traditional Kanak culture and proximity to the island’s famous beaches and lagoons.
  • E. Vao
    Vao is an Oceanic language spoken in northern Vanuatu, primarily on Vao Island off the coast of Malakula.
  • 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: Vu
Triple: [The Falling Soldier, publisher, Vu]
Generated description
Vu is a French illustrated magazine known for its pioneering use of photojournalism and influential coverage of political and social events in the early 20th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vu
Target entity description: Vu is a French illustrated magazine known for its pioneering use of photojournalism and influential coverage of political and social events in the early 20th century.
  • A. Ven
    Ven is a small Swedish island in the Øresund Strait, known for its scenic landscapes, cycling paths, and historical association with astronomer Tycho Brahe.
  • B. Va
    Va is the autonym of the Wa people, an ethnic group primarily inhabiting the mountainous border regions of Myanmar and China.
  • C. Vin
    Vin is a common shortened form of the given name Vincent, often used as an informal or familiar nickname.
  • D. Vao
    Vao is the main village and administrative center of the Île des Pins in New Caledonia, known for its traditional Kanak culture and proximity to the island’s famous beaches and lagoons.
  • E. Vao
    Vao is an Oceanic language spoken in northern Vanuatu, primarily on Vao Island off the coast of Malakula.
  • 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_69d8e523c19881909f9197037200dde6 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65af51b4c81909ba156a489cbc551 completed April 20, 2026, 4:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07fdcece808190ab94df038b659b44 completed May 16, 2026, 5:17 a.m.
NEDg Description generation batch_6a07fe72f47c8190b63c6f528656329e completed May 16, 2026, 5:19 a.m.
NED2 Entity disambiguation (via description) batch_6a080261c6f88190a2ede168aab944b6 completed May 16, 2026, 5:36 a.m.
Created at: April 10, 2026, 1:54 p.m.