Triple

T8149268
Position Surface form Disambiguated ID Type / Status
Subject Symon Petliura E190292 entity
Predicate givenName P17 FINISHED
Object Symon
Symon is a given name most notably borne by Symon Petliura, a Ukrainian political leader and statesman of the early 20th century.
E717420 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: Symon | Statement: [Symon Petliura, givenName, Symon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Symon
Context triple: [Symon Petliura, givenName, Symon]
  • A. Simbo
    Simbo is an Oceanic language of the Meso-Melanesian subgroup spoken on Simbo Island in the Solomon Islands.
  • B. Sylvio
    Sylvio is a masculine given name, often used in Romance-language countries and associated with the variant "Silvio."
  • C. Ramolino
    Ramolino is an Italian surname historically associated with Corsican nobility and notably borne by Letizia Ramolino, the mother of Napoleon Bonaparte.
  • D. Tobo
    Tobo is a small locality in eastern Sweden situated within Tierp Municipality in Uppsala County.
  • E. Simo
    Simo is a Finnish given name most famously borne by Simo Häyhä, a legendary World War II sniper.
  • 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: Symon
Triple: [Symon Petliura, givenName, Symon]
Generated description
Symon is a given name most notably borne by Symon Petliura, a Ukrainian political leader and statesman of the early 20th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Symon
Target entity description: Symon is a given name most notably borne by Symon Petliura, a Ukrainian political leader and statesman of the early 20th century.
  • A. Simbo
    Simbo is an Oceanic language of the Meso-Melanesian subgroup spoken on Simbo Island in the Solomon Islands.
  • B. Sylvio
    Sylvio is a masculine given name, often used in Romance-language countries and associated with the variant "Silvio."
  • C. Ramolino
    Ramolino is an Italian surname historically associated with Corsican nobility and notably borne by Letizia Ramolino, the mother of Napoleon Bonaparte.
  • D. Tobo
    Tobo is a small locality in eastern Sweden situated within Tierp Municipality in Uppsala County.
  • E. Simo
    Simo is a Finnish given name most famously borne by Simo Häyhä, a legendary World War II sniper.
  • 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_69ca82be7ba8819087de0147e9292c83 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb447fc4308190b9436b0fe51a70a5 completed March 31, 2026, 3:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbee697208190a1d9c98b2a4414bd completed April 1, 2026, 6:44 a.m.
NEDg Description generation batch_69ccc310b514819099228a1cc66517c5 completed April 1, 2026, 7:02 a.m.
NED2 Entity disambiguation (via description) batch_69ccd8041c00819094094701ace21aa0 completed April 1, 2026, 8:32 a.m.
Created at: March 30, 2026, 5:37 p.m.