Triple

T5277982
Position Surface form Disambiguated ID Type / Status
Subject Pinterest E119419 entity
Predicate originalName P65 FINISHED
Object Tote (predecessor app)
Tote was an early mobile shopping and bookmarking app that served as the conceptual and functional precursor to Pinterest’s visual discovery platform.
 E509087 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: Tote (predecessor app) | Statement: [Pinterest, originalName, Tote (predecessor app)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tote (predecessor app)
Context triple: [Pinterest, originalName, Tote (predecessor app)]
  • A. T.O.T.S.
    T.O.T.S. is an animated Disney Junior series that follows two delivery birds who transport baby animals to their families while learning lessons about friendship and responsibility.
  • B. Telecharge
    Telecharge is a major ticketing service best known for selling Broadway and other live theater tickets, particularly for productions associated with the Shubert Organization.
  • C. TOB
    TOB is the station code for Tobalaba, a major interchange station on the Santiago Metro in Chile.
  • D. T-Bag
    T-Bag is a sadistic and manipulative prison inmate and primary antagonist in the television series "Prison Break."
  • E. TGO
    TGO is the three-letter ISO 3166-1 alpha-3 country code assigned to the West African nation of Togo.
  • 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: Tote (predecessor app)
Triple: [Pinterest, originalName, Tote (predecessor app)]
Generated description
Tote was an early mobile shopping and bookmarking app that served as the conceptual and functional precursor to Pinterest’s visual discovery platform.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tote (predecessor app)
Target entity description: Tote was an early mobile shopping and bookmarking app that served as the conceptual and functional precursor to Pinterest’s visual discovery platform.
  • A. T.O.T.S.
    T.O.T.S. is an animated Disney Junior series that follows two delivery birds who transport baby animals to their families while learning lessons about friendship and responsibility.
  • B. Telecharge
    Telecharge is a major ticketing service best known for selling Broadway and other live theater tickets, particularly for productions associated with the Shubert Organization.
  • C. TOB
    TOB is the station code for Tobalaba, a major interchange station on the Santiago Metro in Chile.
  • D. T-Bag
    T-Bag is a sadistic and manipulative prison inmate and primary antagonist in the television series "Prison Break."
  • E. TGO
    TGO is the three-letter ISO 3166-1 alpha-3 country code assigned to the West African nation of Togo.
  • 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_69bd446d05a8819092ad333a3f9c8d5c completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd8474e7fc8190ab5dd84f665ae6a4 completed March 20, 2026, 5:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf06d9aab08190ad9905925a849922 completed March 21, 2026, 9 p.m.
NEDg Description generation batch_69bf0940d79081909d0f87359df5100f completed March 21, 2026, 9:10 p.m.
NED2 Entity disambiguation (via description) batch_69bf0999f36c8190bb707c27228690f7 completed March 21, 2026, 9:11 p.m.
Created at: March 20, 2026, 1:51 p.m.