Triple

T20398020
Position Surface form Disambiguated ID Type / Status
Subject Lassie E500258 entity
Predicate portrayedBy P1507 FINISHED
Object Pal
Pal was the male Rough Collie dog who originated the role of Lassie in the classic 1943 film "Lassie Come Home" and subsequent productions.
 E1427688 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: Pal | Statement: [Lassie, portrayedBy, Pal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pal
Context triple: [Lassie, portrayedBy, Pal]
  • A. Pal
    Pal is an Indian surname notably borne by Bipin Chandra Pal, a prominent nationalist leader in the Indian independence movement.
  • B. Pal
    Pal is a small mountain village in the parish of La Massana in Andorra, known for its traditional stone-and-wood architecture and nearby ski slopes.
  • C. Pel
    Pel is a Ferengi who defies traditional Ferengi norms, notably by disguising herself as a male to pursue profit and independence.
  • D. PAL
    PAL is the European and other non-NTSC television broadcast standard that defined video format and regional compatibility for systems like the Game Boy Player.
  • E. PAL
    PAL is the ICAO airline designator for Philippine Airlines, the flag carrier of the Philippines.
  • 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: Pal
Triple: [Lassie, portrayedBy, Pal]
Generated description
Pal was the male Rough Collie dog who originated the role of Lassie in the classic 1943 film "Lassie Come Home" and subsequent productions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pal
Target entity description: Pal was the male Rough Collie dog who originated the role of Lassie in the classic 1943 film "Lassie Come Home" and subsequent productions.
  • A. Pal
    Pal is an Indian surname notably borne by Bipin Chandra Pal, a prominent nationalist leader in the Indian independence movement.
  • B. Pal
    Pal is a small mountain village in the parish of La Massana in Andorra, known for its traditional stone-and-wood architecture and nearby ski slopes.
  • C. Pel
    Pel is a Ferengi who defies traditional Ferengi norms, notably by disguising herself as a male to pursue profit and independence.
  • D. PAL
    PAL is the European and other non-NTSC television broadcast standard that defined video format and regional compatibility for systems like the Game Boy Player.
  • E. PAL
    PAL is the ICAO airline designator for Philippine Airlines, the flag carrier of the Philippines.
  • 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_69e0b4a81bec8190b69adfdc1336a015 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6798c2b28819092fab93f01218cde completed April 20, 2026, 7:07 p.m.
NED1 Entity disambiguation (via context triple) batch_6a087629f618819086c4747990ceb22f completed May 16, 2026, 1:50 p.m.
NEDg Description generation batch_6a0876cc45b88190a7179ca4d518f899 completed May 16, 2026, 1:53 p.m.
NED2 Entity disambiguation (via description) batch_6a0877355bc08190909694d1bb0c3e67 completed May 16, 2026, 1:55 p.m.
Created at: April 16, 2026, 11:29 a.m.