Triple

T14621892
Position Surface form Disambiguated ID Type / Status
Subject Margulies E343243 entity
Predicate hasVariant P455 FINISHED
Object Margules
Margules is a surname that can refer to various individuals, often of Eastern European or Jewish heritage, and is a variant of the name Margulies.
 E1111133 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: Margules | Statement: [Margulies, hasVariant, Margules]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Margules
Context triple: [Margulies, hasVariant, Margules]
  • A. Serrault
    Serrault is a French surname most famously borne by Michel Serrault, the acclaimed actor known for his work in film, theater, and television.
  • B. Isloise
    Isloise is the French demonym for a female inhabitant of the commune of L’Isle-en-Dodon in southwestern France.
  • C. Naville
    Naville is a Swiss surname most notably associated with Édouard Naville, a prominent 19th–20th century Egyptologist and biblical scholar.
  • D. Beynes
    Beynes is a commune in the Yvelines department of the Île-de-France region in north-central France.
  • E. Murston
    Murston is a locality within the Swale district of Kent, England, historically associated with brickmaking and now largely a residential suburb.
  • 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: Margules
Triple: [Margulies, hasVariant, Margules]
Generated description
Margules is a surname that can refer to various individuals, often of Eastern European or Jewish heritage, and is a variant of the name Margulies.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Margules
Target entity description: Margules is a surname that can refer to various individuals, often of Eastern European or Jewish heritage, and is a variant of the name Margulies.
  • A. Serrault
    Serrault is a French surname most famously borne by Michel Serrault, the acclaimed actor known for his work in film, theater, and television.
  • B. Isloise
    Isloise is the French demonym for a female inhabitant of the commune of L’Isle-en-Dodon in southwestern France.
  • C. Naville
    Naville is a Swiss surname most notably associated with Édouard Naville, a prominent 19th–20th century Egyptologist and biblical scholar.
  • D. Beynes
    Beynes is a commune in the Yvelines department of the Île-de-France region in north-central France.
  • E. Murston
    Murston is a locality within the Swale district of Kent, England, historically associated with brickmaking and now largely a residential suburb.
  • 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_69d822dffc3c8190aa173b90761bffda completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb466a61c81908a110d40fb959b6f completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda92688a08190bb27434acc7c12e7 completed May 8, 2026, 9:13 a.m.
NEDg Description generation batch_69fdb2994f2c8190960bd8a27e303cdb completed May 8, 2026, 9:53 a.m.
NED2 Entity disambiguation (via description) batch_69fdb40ee364819087c371fa1e25506c completed May 8, 2026, 9:59 a.m.
Created at: April 10, 2026, 1:25 a.m.