Triple

T5461498
Position Surface form Disambiguated ID Type / Status
Subject Heer Ranjha E122603 entity
Predicate mainCharacter P1183 FINISHED
Object Heer
Heer is the tragic heroine of the classic Punjabi romantic epic "Heer Ranjha," renowned as a symbol of eternal love and devotion.
 E520109 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: Heer | Statement: [Heer Ranjha, mainCharacter, Heer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Heer
Context triple: [Heer Ranjha, mainCharacter, Heer]
  • A. Heer
    The Heer was the land-based component of Nazi Germany’s armed forces, serving as its primary army during World War II.
  • B. Henreid
    Henreid is the surname of Paul Henreid, the Austrian-born actor and director best known for his roles in classic Hollywood films such as "Casablanca" and "Now, Voyager."
  • C. Hein
    Hein is a Dutch surname most notably borne by Piet Hein, a renowned 17th-century naval officer and folk hero of the Dutch Republic.
  • D. Enneüs Heerma
    Enneüs Heerma was a Dutch politician who served as a prominent leader of the Christian Democratic Appeal (CDA) and held several key government positions in the Netherlands.
  • E. Legmeer
    Legmeer is a residential neighborhood within the Dutch municipality of Uithoorn in the province of North Holland.
  • 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: Heer
Triple: [Heer Ranjha, mainCharacter, Heer]
Generated description
Heer is the tragic heroine of the classic Punjabi romantic epic "Heer Ranjha," renowned as a symbol of eternal love and devotion.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Heer
Target entity description: Heer is the tragic heroine of the classic Punjabi romantic epic "Heer Ranjha," renowned as a symbol of eternal love and devotion.
  • A. Heer
    The Heer was the land-based component of Nazi Germany’s armed forces, serving as its primary army during World War II.
  • B. Henreid
    Henreid is the surname of Paul Henreid, the Austrian-born actor and director best known for his roles in classic Hollywood films such as "Casablanca" and "Now, Voyager."
  • C. Hein
    Hein is a Dutch surname most notably borne by Piet Hein, a renowned 17th-century naval officer and folk hero of the Dutch Republic.
  • D. Enneüs Heerma
    Enneüs Heerma was a Dutch politician who served as a prominent leader of the Christian Democratic Appeal (CDA) and held several key government positions in the Netherlands.
  • E. Legmeer
    Legmeer is a residential neighborhood within the Dutch municipality of Uithoorn in the province of North Holland.
  • 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_69bd4643f16081908d7f29e08096115a completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd9201dbfc8190bea22d6ecbc25b3e completed March 20, 2026, 6:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf414ebd288190ae90593232ff2db9 completed March 22, 2026, 1:09 a.m.
NEDg Description generation batch_69bf41dd96448190973b7241df5dbb24 completed March 22, 2026, 1:11 a.m.
NED2 Entity disambiguation (via description) batch_69bf42badcf08190b451b148d08e996e completed March 22, 2026, 1:15 a.m.
Created at: March 20, 2026, 2:08 p.m.