Triple

T4898463
Position Surface form Disambiguated ID Type / Status
Subject Andrew Lang E109739 entity
Predicate familyName P18 FINISHED
Object Lang
Lang is a common Scottish surname borne by numerous notable figures across literature, politics, and other fields.
 E478034 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: Lang | Statement: [Andrew Lang, familyName, Lang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lang
Context triple: [Andrew Lang, familyName, Lang]
  • A. Lang
    Lang is the given name of the renowned Chinese concert pianist Lang Lang, celebrated for his virtuosic technique and charismatic performances.
  • B. Limba
    The Limba are one of the largest and oldest indigenous ethnic groups in Sierra Leone, known for their distinct language, cultural traditions, and historical role in the country’s northern regions.
  • C. Langues
    Langues were the regional administrative divisions of the Knights Hospitaller, grouping members by their geographic and linguistic origins.
  • D. For language
    For language is an alternative name for the Fur language, a Nilo-Saharan language spoken primarily by the Fur people of western Sudan.
  • E. Lawangan language
    The Lawangan language is an Austronesian language spoken by the Lawangan people of central Kalimantan in Indonesia.
  • 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: Lang
Triple: [Andrew Lang, familyName, Lang]
Generated description
Lang is a common Scottish surname borne by numerous notable figures across literature, politics, and other fields.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lang
Target entity description: Lang is a common Scottish surname borne by numerous notable figures across literature, politics, and other fields.
  • A. Lang
    Lang is the given name of the renowned Chinese concert pianist Lang Lang, celebrated for his virtuosic technique and charismatic performances.
  • B. Limba
    The Limba are one of the largest and oldest indigenous ethnic groups in Sierra Leone, known for their distinct language, cultural traditions, and historical role in the country’s northern regions.
  • C. Langues
    Langues were the regional administrative divisions of the Knights Hospitaller, grouping members by their geographic and linguistic origins.
  • D. For language
    For language is an alternative name for the Fur language, a Nilo-Saharan language spoken primarily by the Fur people of western Sudan.
  • E. Lawangan language
    The Lawangan language is an Austronesian language spoken by the Lawangan people of central Kalimantan in Indonesia.
  • 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_69bd4410bbf88190aad50d2451c863d6 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6e49992481908cc7cc1eeafd6494 completed March 20, 2026, 3:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69be6fc997548190bb340193475065ee completed March 21, 2026, 10:15 a.m.
NEDg Description generation batch_69be70585e9881909b8ad633f6cc42a6 completed March 21, 2026, 10:18 a.m.
NED2 Entity disambiguation (via description) batch_69be70d49768819088f4d523e968fdfb completed March 21, 2026, 10:20 a.m.
Created at: March 20, 2026, 1:28 p.m.