Triple

T10352094
Position Surface form Disambiguated ID Type / Status
Subject Gaston Leroux E243904 entity
Predicate familyName P18 FINISHED
Object Leroux
Leroux is a French surname most famously borne by Gaston Leroux, the author of "The Phantom of the Opera."
 E856940 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: Leroux | Statement: [Gaston Leroux, familyName, Leroux]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Leroux
Context triple: [Gaston Leroux, familyName, Leroux]
  • A. Paris Beuller
    Paris Beuller is a prominent hip-hop producer known for shaping the sound of Chicago drill through his work with key artists in the scene.
  • B. Raspail
    Raspail is a Paris Métro station in the 14th arrondissement that serves as an interchange between lines 4 and 6.
  • C. Clairmarais
    Clairmarais is a small commune in northern France known for its marshlands and canals, situated near the town of Saint-Omer.
  • D. Lajoux
    Lajoux is a small municipality in the Jura region of northwestern Switzerland, known for its rural setting and location on the Franches-Montagnes plateau.
  • E. Gustave
    Gustave is a masculine given name of French origin, famously borne by engineer Gustave Eiffel.
  • 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: Leroux
Triple: [Gaston Leroux, familyName, Leroux]
Generated description
Leroux is a French surname most famously borne by Gaston Leroux, the author of "The Phantom of the Opera."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Leroux
Target entity description: Leroux is a French surname most famously borne by Gaston Leroux, the author of "The Phantom of the Opera."
  • A. Paris Beuller
    Paris Beuller is a prominent hip-hop producer known for shaping the sound of Chicago drill through his work with key artists in the scene.
  • B. Raspail
    Raspail is a Paris Métro station in the 14th arrondissement that serves as an interchange between lines 4 and 6.
  • C. Clairmarais
    Clairmarais is a small commune in northern France known for its marshlands and canals, situated near the town of Saint-Omer.
  • D. Lajoux
    Lajoux is a small municipality in the Jura region of northwestern Switzerland, known for its rural setting and location on the Franches-Montagnes plateau.
  • E. Gustave
    Gustave is a masculine given name of French origin, famously borne by engineer Gustave Eiffel.
  • 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_69d381b22b8c8190aaed476be5f872a9 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9489f9481908fc1c818e81c1cc2 completed April 7, 2026, 11:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7509c50d48190a567d9613a062efc completed April 9, 2026, 7:09 a.m.
NEDg Description generation batch_69d75133588c819093af59327b951cd7 completed April 9, 2026, 7:11 a.m.
NED2 Entity disambiguation (via description) batch_69d751d94a7081909fbe78fb6f76aef5 completed April 9, 2026, 7:14 a.m.
Created at: April 6, 2026, 11:57 a.m.