Triple

T272447
Position Surface form Disambiguated ID Type / Status
Subject Think E5664 entity
Predicate sloganFor P7688 FINISHED
Object IBM E1102 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: IBM | Statement: [Think, sloganFor, IBM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IBM
Context triple: [Think, sloganFor, IBM]
  • A. IBM chosen
    IBM is a multinational technology and consulting company known for its pioneering work in computer hardware, software, and enterprise services.
  • B. Hewlett-Packard
    Hewlett-Packard is a pioneering American technology company known for its innovations in computing, printers, and enterprise IT solutions.
  • C. Sun Microsystems
    Sun Microsystems was a pioneering American technology company best known for developing the Java programming language, the Solaris operating system, and high-performance networked computer systems.
  • D. Compaq
    Compaq was a major American computer company best known for its popular line of personal computers and for being one of the largest PC manufacturers before its acquisition by Hewlett-Packard.
  • E. Micros Systems
    Micros Systems was a leading provider of point-of-sale and hospitality management software and hardware solutions for restaurants, hotels, and retail businesses.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: sloganFor
Context triple: [Think, sloganFor, IBM]
  • A. sloganUsedIn
    Indicates that a particular slogan is employed or featured within a specific context, such as a campaign, advertisement, or organization.
  • B. hasTagline chosen
    Indicates that an entity is associated with a specific slogan or tagline that represents or promotes it.
  • C. electoralSlogan
    Indicates that a phrase is used as a campaign message or motto to promote a candidate, party, or political cause in an election.
  • D. campaignSloganOfWinner
    Indicates that a given slogan is the official campaign slogan used by the candidate who won a particular election.
  • E. logoDescription
    Indicates a textual description that explains the appearance, style, or content of a logo.
  • F. None of above.

Provenance (4 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_69a25853594c8190b05ec3a586ec88bf completed Feb. 28, 2026, 2:52 a.m.
NER Named-entity recognition batch_69a25dcf667c8190a7b8630fe67b9a90 completed Feb. 28, 2026, 3:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69a3cfe55c4c81908521c5161f0d844b completed March 1, 2026, 5:34 a.m.
PD Predicate disambiguation batch_69a25b7345c4819086c21710864a1b42 completed Feb. 28, 2026, 3:05 a.m.
Created at: Feb. 28, 2026, 2:57 a.m.