Triple

T2714892
Position Surface form Disambiguated ID Type / Status
Subject Turandot E59944 entity
Predicate character P662 FINISHED
Object Ping
Ping is a comic yet poignant ministerial official in Giacomo Puccini’s opera "Turandot," known for his lyrical reflections on home and the burdens of courtly duty.
 E291773 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: Ping | Statement: [Turandot, character, Ping]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ping
Context triple: [Turandot, character, Ping]
  • A. Tap
    Tap is a 1989 dance drama film showcasing Gregory Hines’s tap-dancing talent alongside an ensemble of legendary hoofers.
  • B. PIP
    PIP is a UK welfare benefit that helps disabled people or those with long-term health conditions cover the extra costs of daily living and mobility.
  • C. Pac
    Pac is the widely used nickname of Tupac Shakur, the influential American rapper, actor, and cultural icon.
  • D. PIT
    PIT is the standard three-letter abbreviation used for the NHL’s Pittsburgh Penguins in scores, standings, and statistics.
  • E. Snap
    Snap is a technology and social media company best known for creating Snapchat and developing camera-focused hardware and augmented reality products.
  • 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: Ping
Triple: [Turandot, character, Ping]
Generated description
Ping is a comic yet poignant ministerial official in Giacomo Puccini’s opera "Turandot," known for his lyrical reflections on home and the burdens of courtly duty.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ping
Target entity description: Ping is a comic yet poignant ministerial official in Giacomo Puccini’s opera "Turandot," known for his lyrical reflections on home and the burdens of courtly duty.
  • A. Tap
    Tap is a 1989 dance drama film showcasing Gregory Hines’s tap-dancing talent alongside an ensemble of legendary hoofers.
  • B. PIP
    PIP is a UK welfare benefit that helps disabled people or those with long-term health conditions cover the extra costs of daily living and mobility.
  • C. Pac
    Pac is the widely used nickname of Tupac Shakur, the influential American rapper, actor, and cultural icon.
  • D. PIT
    PIT is the standard three-letter abbreviation used for the NHL’s Pittsburgh Penguins in scores, standings, and statistics.
  • E. Snap
    Snap is a technology and social media company best known for creating Snapchat and developing camera-focused hardware and augmented reality products.
  • 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_69ab4ac92a088190bc74bca14038e3de completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abda93a2388190b55a1c821ef6bc64 completed March 7, 2026, 7:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69afb68a3cb881909fd29018154ae4d3 completed March 10, 2026, 6:13 a.m.
NEDg Description generation batch_69afb703a5f8819097b71e19db11feaf completed March 10, 2026, 6:15 a.m.
NED2 Entity disambiguation (via description) batch_69afb7aa131c81908cdfbda9575312f3 completed March 10, 2026, 6:18 a.m.
Created at: March 6, 2026, 9:55 p.m.