Triple

T30632592
Position Surface form Disambiguated ID Type / Status
Subject Mayor of Belgrade E779749 entity
Predicate officeHolder P537 FINISHED
Object Vojislav Mihailović
Vojislav Mihailović is a Serbian politician best known for serving as the mayor of Belgrade in the late 1990s and for being the grandson of Chetnik leader Draža Mihailović.
E1924047 NE FINISHED

How this triple was built (2 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: Vojislav Mihailović | Statement: [Mayor of Belgrade, officeHolder, Vojislav Mihailović]
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: Vojislav Mihailović
Triple: [Mayor of Belgrade, officeHolder, Vojislav Mihailović]
Generated description
Vojislav Mihailović is a Serbian politician best known for serving as the mayor of Belgrade in the late 1990s and for being the grandson of Chetnik leader Draža Mihailović.

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_69f224a431548190a44ad9d088dbf91f completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f68a1ee6348190a316b92bccd14826 completed May 2, 2026, 11:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2863efb21881908d6ebdbeed6decc4 completed June 9, 2026, 7:05 p.m.
NEDg Description generation batch_6a2864c56f7c8190a58fc3d7c85669ad completed June 9, 2026, 7:08 p.m.
NED2 Entity disambiguation (via description) batch_6a28653331c08190b467fba620124049 completed June 9, 2026, 7:10 p.m.
Created at: April 29, 2026, 8:28 p.m.