Triple

T4908914
Position Surface form Disambiguated ID Type / Status
Subject H. E. Carter E110182 entity
Predicate givenName P17 FINISHED
Object H.
H. is an individual whose given name is represented by the initial "H."
 E478567 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: H. | Statement: [H. E. Carter, givenName, H.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: H.
Context triple: [H. E. Carter, givenName, H.]
  • A. Hu
    Hu is a common Chinese surname borne by many notable figures, including former Chinese president Hu Jintao.
  • B. Ho
    Ho is the given name of the Korean-born contemporary artist Do Ho Suh, known for his large-scale installations exploring space, memory, and identity.
  • C. Ho
    Ho are an indigenous Adivasi community of eastern India, primarily inhabiting parts of Jharkhand and Odisha, known for their Austroasiatic Ho language and distinct cultural traditions.
  • D. Ho
    Ho is a town in southeastern Ghana that serves as the capital of the Volta Region and an important administrative and commercial center.
  • E. HB
    HB is the official vehicle registration code used on license plates for the German city-state of Bremen.
  • 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: H.
Triple: [H. E. Carter, givenName, H.]
Generated description
H. is an individual whose given name is represented by the initial "H."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: H.
Target entity description: H. is an individual whose given name is represented by the initial "H."
  • A. Hu
    Hu is a common Chinese surname borne by many notable figures, including former Chinese president Hu Jintao.
  • B. Ho
    Ho is the given name of the Korean-born contemporary artist Do Ho Suh, known for his large-scale installations exploring space, memory, and identity.
  • C. Ho
    Ho are an indigenous Adivasi community of eastern India, primarily inhabiting parts of Jharkhand and Odisha, known for their Austroasiatic Ho language and distinct cultural traditions.
  • D. Ho
    Ho is a town in southeastern Ghana that serves as the capital of the Volta Region and an important administrative and commercial center.
  • E. HB
    HB is the official vehicle registration code used on license plates for the German city-state of Bremen.
  • 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_69bd44132b94819088522d92beaadc78 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6e765094819099481f4f2dd7c47d completed March 20, 2026, 3:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69be6fe098b081908e17d6d349b76364 completed March 21, 2026, 10:16 a.m.
NEDg Description generation batch_69be7095dc8c8190bdda64e99232fe1e completed March 21, 2026, 10:19 a.m.
NED2 Entity disambiguation (via description) batch_69be710df238819085b0a873e23ecfd9 completed March 21, 2026, 10:21 a.m.
Created at: March 20, 2026, 1:29 p.m.