Triple

T7054856
Position Surface form Disambiguated ID Type / Status
Subject Jean-Luc Picard E164059 entity
Predicate knownFor P22 FINISHED
Object catchphrase "Make it so"
"Make it so" is the iconic command catchphrase frequently used by Captain Jean-Luc Picard in the television series Star Trek: The Next Generation.
E639170 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: catchphrase "Make it so" | Statement: [Jean-Luc Picard, knownFor, catchphrase "Make it so"]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: catchphrase "Make it so"
Context triple: [Jean-Luc Picard, knownFor, catchphrase "Make it so"]
  • A. Hotto Motto
    Hotto Motto is a Japanese take-out bento chain known for offering a wide variety of freshly prepared boxed meals at affordable prices.
  • B. Ninja
    Ninja is a fast, small, and focused build system designed to efficiently handle incremental builds in large software projects.
  • C. Makonnen
    Makonnen is an Ethiopian nobleman and military leader best known as the father of Emperor Haile Selassie I.
  • D. M-Code
    M-Code is an advanced, encrypted military GPS signal designed to provide more secure and jam-resistant positioning and navigation for authorized users.
  • E. Daijosai
    Daijosai is a grand Shinto ritual performed once in a Japanese emperor’s reign to celebrate his enthronement and offer newly harvested rice to the deities.
  • 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: catchphrase "Make it so"
Triple: [Jean-Luc Picard, knownFor, catchphrase "Make it so"]
Generated description
"Make it so" is the iconic command catchphrase frequently used by Captain Jean-Luc Picard in the television series Star Trek: The Next Generation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: catchphrase "Make it so"
Target entity description: "Make it so" is the iconic command catchphrase frequently used by Captain Jean-Luc Picard in the television series Star Trek: The Next Generation.
  • A. Hotto Motto
    Hotto Motto is a Japanese take-out bento chain known for offering a wide variety of freshly prepared boxed meals at affordable prices.
  • B. Ninja
    Ninja is a fast, small, and focused build system designed to efficiently handle incremental builds in large software projects.
  • C. Makonnen
    Makonnen is an Ethiopian nobleman and military leader best known as the father of Emperor Haile Selassie I.
  • D. M-Code
    M-Code is an advanced, encrypted military GPS signal designed to provide more secure and jam-resistant positioning and navigation for authorized users.
  • E. Daijosai
    Daijosai is a grand Shinto ritual performed once in a Japanese emperor’s reign to celebrate his enthronement and offer newly harvested rice to the deities.
  • 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_69c68861678881909961ddf4d779f750 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e267664c81909501feb12683a002 completed March 27, 2026, 8:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7889ddd488190b1e55828909133eb completed March 28, 2026, 7:51 a.m.
NEDg Description generation batch_69c78975edf88190b864cd1e3b9622bd completed March 28, 2026, 7:55 a.m.
NED2 Entity disambiguation (via description) batch_69c78bcf02b481908c50e6d7061bbc12 completed March 28, 2026, 8:05 a.m.
Created at: March 27, 2026, 2:38 p.m.