Triple

T16647765
Position Surface form Disambiguated ID Type / Status
Subject Joan Peers E404516 entity
Predicate notableWork P4 FINISHED
Object The Social Lion
The Social Lion is a 1930s American film featuring actress Joan Peers in a prominent role.
 E1226178 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: The Social Lion | Statement: [Joan Peers, notableWork, The Social Lion]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: The Social Lion
Context triple: [Joan Peers, notableWork, The Social Lion]
  • A. Tail of Lions
    Tail of Lions is a studio album by British singer-songwriter Alex Clare that blends soulful vocals with electronic and rock-influenced production.
  • B. Can’t Tame the Lion
    "Can’t Tame the Lion" is a song by the American rock band Journey from their 1996 album "Trial by Fire."
  • C. Tame a Lion
    "Tame a Lion" is a song by the American rock band The Almost, known for blending alternative rock with post-hardcore and Christian rock influences.
  • D. The Tiger Among Us
    The Tiger Among Us is a hardboiled crime novel by Leigh Brackett that blends gritty noir atmosphere with psychological tension in a story of murder and moral ambiguity.
  • E. The Lion’s Skin
    The Lion’s Skin is an adventure novel by Rafael Sabatini, known for its swashbuckling plot, romantic intrigue, and themes of identity and revenge.
  • 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: The Social Lion
Triple: [Joan Peers, notableWork, The Social Lion]
Generated description
The Social Lion is a 1930s American film featuring actress Joan Peers in a prominent role.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: The Social Lion
Target entity description: The Social Lion is a 1930s American film featuring actress Joan Peers in a prominent role.
  • A. Tail of Lions
    Tail of Lions is a studio album by British singer-songwriter Alex Clare that blends soulful vocals with electronic and rock-influenced production.
  • B. Can’t Tame the Lion
    "Can’t Tame the Lion" is a song by the American rock band Journey from their 1996 album "Trial by Fire."
  • C. Tame a Lion
    "Tame a Lion" is a song by the American rock band The Almost, known for blending alternative rock with post-hardcore and Christian rock influences.
  • D. The Tiger Among Us
    The Tiger Among Us is a hardboiled crime novel by Leigh Brackett that blends gritty noir atmosphere with psychological tension in a story of murder and moral ambiguity.
  • E. The Lion’s Skin
    The Lion’s Skin is an adventure novel by Rafael Sabatini, known for its swashbuckling plot, romantic intrigue, and themes of identity and revenge.
  • 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_69d8838a41f08190b0c3f79c47df5078 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37ad66fe88190be582b81719f2ac1 completed April 18, 2026, 12:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0084c0e37c819080161d522069aa1d completed May 10, 2026, 1:14 p.m.
NEDg Description generation batch_6a0085e04fc08190b974be9d6e27413d completed May 10, 2026, 1:19 p.m.
NED2 Entity disambiguation (via description) batch_6a00868e55dc8190bfc7cd1b78ec4d6d completed May 10, 2026, 1:22 p.m.
Created at: April 10, 2026, 5:18 a.m.