Triple

T6459581
Position Surface form Disambiguated ID Type / Status
Subject Hrodebert E142081 entity
Predicate component P35 FINISHED
Object bert
Bert is a masculine given name, often used as a short form of names like Albert, Herbert, or Robert, and is borne by various real and fictional characters.
 E593801 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: bert | Statement: [Hrodebert, component, bert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: bert
Context triple: [Hrodebert, component, bert]
  • A. EB
    EB is the Executive Board of the World Health Organization, a governing body that advises and facilitates the implementation of the World Health Assembly’s decisions and policies.
  • B. EB
    EB is the regional vehicle registration code used on license plates for vehicles registered in Alexandroupoli, Greece.
  • C. Bel
    Bel is a major Mesopotamian god, often identified with Marduk, revered as a supreme deity and lord of the heavens and earth in Babylonian religion.
  • D. BER
    BER is a U.S. Department of Energy research program that advances fundamental science on biological systems and environmental processes to address energy and climate challenges.
  • E. BER
    BER is the ICAO airline designator formerly used by the now-defunct German carrier Air Berlin.
  • 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: bert
Triple: [Hrodebert, component, bert]
Generated description
Bert is a masculine given name, often used as a short form of names like Albert, Herbert, or Robert, and is borne by various real and fictional characters.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: bert
Target entity description: Bert is a masculine given name, often used as a short form of names like Albert, Herbert, or Robert, and is borne by various real and fictional characters.
  • A. EB
    EB is the Executive Board of the World Health Organization, a governing body that advises and facilitates the implementation of the World Health Assembly’s decisions and policies.
  • B. EB
    EB is the regional vehicle registration code used on license plates for vehicles registered in Alexandroupoli, Greece.
  • C. Bel
    Bel is a major Mesopotamian god, often identified with Marduk, revered as a supreme deity and lord of the heavens and earth in Babylonian religion.
  • D. BER
    BER is a U.S. Department of Energy research program that advances fundamental science on biological systems and environmental processes to address energy and climate challenges.
  • E. BER
    BER is the ICAO airline designator formerly used by the now-defunct German carrier Air Berlin.
  • 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_69c008d2f91c8190a8178767a35e08fc completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c069f347f48190a2b22c5b648b17bd completed March 22, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c64be1fad88190af07b7053811e3f2 completed March 27, 2026, 9:20 a.m.
NEDg Description generation batch_69c64c79104c8190b2478dcead58d9cb completed March 27, 2026, 9:23 a.m.
NED2 Entity disambiguation (via description) batch_69c64cd505e08190a9c6152e55e272b4 completed March 27, 2026, 9:24 a.m.
Created at: March 22, 2026, 4:48 p.m.