Triple

T964941
Position Surface form Disambiguated ID Type / Status
Subject Sterling Hayden E20817 entity
Predicate notableWork P4 FINISHED
Object Zero Hour!
Zero Hour! is a 1957 American disaster film best known as the serious airplane-crisis movie that later inspired the parody film Airplane!.
 E113579 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: Zero Hour! | Statement: [Sterling Hayden, notableWork, Zero Hour!]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zero Hour!
Context triple: [Sterling Hayden, notableWork, Zero Hour!]
  • A. The Sentry
    The Sentry is a 17th-century painting by Dutch Golden Age artist Carel Fabritius, noted for its subtle use of light and psychological depth in depicting a solitary guard.
  • B. Firestorm
    Firestorm is Apple’s high-performance ARM CPU core design used in the M1 chip to deliver fast, power-efficient processing.
  • C. New Earth
    New Earth is the renewed, perfected creation in Christian eschatology where the redeemed will dwell eternally in God’s presence.
  • D. The Big O
    The Big O is a popular nickname for the city of Omaha, Nebraska, often used to evoke its energetic urban character and regional significance.
  • E. The Big O
    The Big O is Montreal’s distinctive, oval-shaped Olympic Stadium, best known for its massive concrete structure and once-ambitious inclined tower.
  • 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: Zero Hour!
Triple: [Sterling Hayden, notableWork, Zero Hour!]
Generated description
Zero Hour! is a 1957 American disaster film best known as the serious airplane-crisis movie that later inspired the parody film Airplane!.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zero Hour!
Target entity description: Zero Hour! is a 1957 American disaster film best known as the serious airplane-crisis movie that later inspired the parody film Airplane!.
  • A. The Sentry
    The Sentry is a 17th-century painting by Dutch Golden Age artist Carel Fabritius, noted for its subtle use of light and psychological depth in depicting a solitary guard.
  • B. Firestorm
    Firestorm is Apple’s high-performance ARM CPU core design used in the M1 chip to deliver fast, power-efficient processing.
  • C. New Earth
    New Earth is the renewed, perfected creation in Christian eschatology where the redeemed will dwell eternally in God’s presence.
  • D. The Big O
    The Big O is a popular nickname for the city of Omaha, Nebraska, often used to evoke its energetic urban character and regional significance.
  • E. The Big O
    The Big O is Montreal’s distinctive, oval-shaped Olympic Stadium, best known for its massive concrete structure and once-ambitious inclined tower.
  • 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_69a493b33d2c81909c52c369d3ca8436 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b431d61481908b53490e99670363 completed March 1, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac11a82bfc81908a30b19d4ecc25f1 completed March 7, 2026, 11:53 a.m.
NEDg Description generation batch_69ac12e7384881908211de8a4092b3c0 completed March 7, 2026, 11:58 a.m.
NED2 Entity disambiguation (via description) batch_69ac135f4b9c8190b45955bc9ef65608 completed March 7, 2026, noon
Created at: March 1, 2026, 7:40 p.m.