Triple

T26876376
Position Surface form Disambiguated ID Type / Status
Subject Baby (You’ve Got What It Takes) E676760 entity
Predicate hasEarlierTitleVariant P160063 FINISHED
Object You’ve Got What It Takes
"You’ve Got What It Takes" is a popular R&B song best known from its 1960 hit recording by Marv Johnson, celebrated for its upbeat affirmation of romantic compatibility.
 E1748273 NE FINISHED

How this triple was built (3 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: You’ve Got What It Takes | Statement: [Baby (You’ve Got What It Takes), hasEarlierTitleVariant, You’ve Got What It Takes]
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: You’ve Got What It Takes
Triple: [Baby (You’ve Got What It Takes), hasEarlierTitleVariant, You’ve Got What It Takes]
Generated description
"You’ve Got What It Takes" is a popular R&B song best known from its 1960 hit recording by Marv Johnson, celebrated for its upbeat affirmation of romantic compatibility.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasEarlierTitleVariant
Context triple: [Baby (You’ve Got What It Takes), hasEarlierTitleVariant, You’ve Got What It Takes]
  • A. hasFormerTitle
    Indicates that an entity previously held a specific title or position but no longer does.
  • B. hasLaterTitle
    Indicates that one title occurs chronologically after another title in a sequence or timeline.
  • C. haveAlternativeTitle
    Indicates that an entity is known by one or more alternative titles or names in addition to its primary title.
  • D. hasWorkTitleVariant chosen
    Indicates that an entity has an alternative or variant form of its work title, such as a different wording, spelling, or language version of the same title.
  • E. hasShorterSingleVersionTitle
    Indicates that one entity’s title is a shorter, single-version form of another entity’s title.
  • F. None of above.

Provenance (6 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_69eee9bb44988190b6e11652d028bc59 completed April 27, 2026, 4:44 a.m.
NER Named-entity recognition batch_69f6247480cc8190a887eedaeb94615c completed May 2, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_6a121e9bdc8481909540814cc92c9d9a completed May 23, 2026, 9:39 p.m.
NEDg Description generation batch_6a12201aff34819093554f4c49348255 completed May 23, 2026, 9:46 p.m.
NED2 Entity disambiguation (via description) batch_6a122097db648190894ce494a837c538 completed May 23, 2026, 9:48 p.m.
PD Predicate disambiguation batch_69f623a7539c8190b71797f583da9f63 completed May 2, 2026, 4:17 p.m.
Created at: April 27, 2026, 5:36 a.m.