Triple

T5094069
Position Surface form Disambiguated ID Type / Status
Subject Hrothgar E114823 entity
Predicate brother P363 FINISHED
Object Halga
Halga is a legendary Danish prince from the Old English epic Beowulf, known as one of the Scylding royal brothers.
 E493754 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: Halga | Statement: [Hrothgar, brother, Halga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Halga
Context triple: [Hrothgar, brother, Halga]
  • A. Bara
    Bara is a town in Pakistan’s Khyber District, known as a key settlement in the Khyber Pass region with strategic and commercial significance.
  • B. Haldia
    Haldia is an industrial port city in eastern India known for its petrochemical complexes and role as a major river port on the Hooghly River.
  • C. Haykota
    Haykota is a town in Eritrea’s Gash-Barka region, known primarily as a local agricultural and administrative center.
  • D. Lapseki
    Lapseki is a town and district in Çanakkale Province in northwestern Turkey, situated on the Asian shore of the Dardanelles Strait.
  • E. Haluza
    Haluza is an ancient Nabatean city and archaeological site located in Israel’s Negev desert, once a key stop on the Incense Route.
  • 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: Halga
Triple: [Hrothgar, brother, Halga]
Generated description
Halga is a legendary Danish prince from the Old English epic Beowulf, known as one of the Scylding royal brothers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Halga
Target entity description: Halga is a legendary Danish prince from the Old English epic Beowulf, known as one of the Scylding royal brothers.
  • A. Bara
    Bara is a town in Pakistan’s Khyber District, known as a key settlement in the Khyber Pass region with strategic and commercial significance.
  • B. Haldia
    Haldia is an industrial port city in eastern India known for its petrochemical complexes and role as a major river port on the Hooghly River.
  • C. Haykota
    Haykota is a town in Eritrea’s Gash-Barka region, known primarily as a local agricultural and administrative center.
  • D. Lapseki
    Lapseki is a town and district in Çanakkale Province in northwestern Turkey, situated on the Asian shore of the Dardanelles Strait.
  • E. Haluza
    Haluza is an ancient Nabatean city and archaeological site located in Israel’s Negev desert, once a key stop on the Incense Route.
  • 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_69bd443fc49c819089629c00e311310c completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd75454920819086e09d6055087e40 completed March 20, 2026, 4:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69beba76ef188190ab31623d1a44ebb9 completed March 21, 2026, 3:34 p.m.
NEDg Description generation batch_69bebb8e5f1c819082f0b59e9524d6e8 completed March 21, 2026, 3:38 p.m.
NED2 Entity disambiguation (via description) batch_69bebc30029081909b5c937308fefcf2 completed March 21, 2026, 3:41 p.m.
Created at: March 20, 2026, 1:40 p.m.