Triple

T1786962
Position Surface form Disambiguated ID Type / Status
Subject Bridging the Gap E39414 entity
Predicate hasPart P35 FINISHED
Object track "Get Original"
"Get Original" is a hip hop track featured on the Black Eyed Peas' album "Bridging the Gap."
 E198948 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: track "Get Original" | Statement: [Bridging the Gap, hasPart, track "Get Original"]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: track "Get Original"
Context triple: [Bridging the Gap, hasPart, track "Get Original"]
  • A. Get It Back
    "Get It Back" is a song by Whitney Houston featured on her 1998 album *My Love Is Your Love*.
  • B. Come and Get It
    Come and Get It is a 1936 American drama film, co-directed by Howard Hawks and William Wyler, best known for featuring Walter Brennan in an Oscar-winning supporting performance.
  • C. Get It (DT)
    "Get It (DT)" is a track by rapper Big Sean featured on his debut studio album "Finally Famous."
  • D. Tracks
    "Tracks" is a critically acclaimed novel by Louise Erdrich that exemplifies the Native American Renaissance through its exploration of Ojibwe identity, history, and storytelling.
  • E. Tracks
    Tracks is a 2013 biographical drama film chronicling Robyn Davidson’s 1,700-mile trek across the Australian desert, produced by Iain Canning.
  • 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: track "Get Original"
Triple: [Bridging the Gap, hasPart, track "Get Original"]
Generated description
"Get Original" is a hip hop track featured on the Black Eyed Peas' album "Bridging the Gap."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: track "Get Original"
Target entity description: "Get Original" is a hip hop track featured on the Black Eyed Peas' album "Bridging the Gap."
  • A. Get It Back
    "Get It Back" is a song by Whitney Houston featured on her 1998 album *My Love Is Your Love*.
  • B. Come and Get It
    Come and Get It is a 1936 American drama film, co-directed by Howard Hawks and William Wyler, best known for featuring Walter Brennan in an Oscar-winning supporting performance.
  • C. Get It (DT)
    "Get It (DT)" is a track by rapper Big Sean featured on his debut studio album "Finally Famous."
  • D. Tracks
    "Tracks" is a critically acclaimed novel by Louise Erdrich that exemplifies the Native American Renaissance through its exploration of Ojibwe identity, history, and storytelling.
  • E. Tracks
    Tracks is a 2013 biographical drama film chronicling Robyn Davidson’s 1,700-mile trek across the Australian desert, produced by Iain Canning.
  • 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_69a88631854081909723959921e45c2b completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa650ea238819093a15df6f9d73e2d completed March 6, 2026, 5:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada9a66da8819085867355c174adce completed March 8, 2026, 4:53 p.m.
NEDg Description generation batch_69adaab488ec81909a340aab4916b90f completed March 8, 2026, 4:58 p.m.
NED2 Entity disambiguation (via description) batch_69adaf3cd23081909dd27c5de8e3f6d2 completed March 8, 2026, 5:17 p.m.
Created at: March 4, 2026, 7:32 p.m.