Triple

T19047896
Position Surface form Disambiguated ID Type / Status
Subject Phoenix Project E466181 entity
Predicate hasPart P35 FINISHED
Object Feng
Feng is a character or component associated with the Phoenix Project, likely contributing a distinct role or function within that larger work or initiative.
 E1356457 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: Feng | Statement: [Phoenix Project, hasPart, Feng]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Feng
Context triple: [Phoenix Project, hasPart, Feng]
  • A. Feng
    Feng is a Chinese surname borne by various notable figures in Chinese history and culture.
  • B. Feng
    Feng was an early capital city of the Zhou dynasty in ancient China, serving as a key political and cultural center before later relocations.
  • C. Feng
    Feng is the flamboyant and villainous crime lord and ping-pong master who serves as the main antagonist in the comedy film "Balls of Fury."
  • D. Fei
    Fei is a consort associated with the legendary Yellow Emperor (Huangdi) in ancient Chinese mythology and early imperial tradition.
  • E. Yifeng
    Yifeng was a Chinese era name used during the reign of Emperor Gaozong of the Tang dynasty.
  • 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: Feng
Triple: [Phoenix Project, hasPart, Feng]
Generated description
Feng is a character or component associated with the Phoenix Project, likely contributing a distinct role or function within that larger work or initiative.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Feng
Target entity description: Feng is a character or component associated with the Phoenix Project, likely contributing a distinct role or function within that larger work or initiative.
  • A. Feng
    Feng is a Chinese surname borne by various notable figures in Chinese history and culture.
  • B. Feng
    Feng was an early capital city of the Zhou dynasty in ancient China, serving as a key political and cultural center before later relocations.
  • C. Feng
    Feng is the flamboyant and villainous crime lord and ping-pong master who serves as the main antagonist in the comedy film "Balls of Fury."
  • D. Fei
    Fei is a consort associated with the legendary Yellow Emperor (Huangdi) in ancient Chinese mythology and early imperial tradition.
  • E. Yifeng
    Yifeng was a Chinese era name used during the reign of Emperor Gaozong of the Tang dynasty.
  • 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_69d8dd040fb881909af2a964f65ad208 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d8057dec8190b9f1e0b54084ecec completed April 20, 2026, 7:38 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05c551e26c8190928642f451cb85f0 completed May 14, 2026, 12:51 p.m.
NEDg Description generation batch_6a05c7645d6c8190bd4d16b234c3384b completed May 14, 2026, 1 p.m.
NED2 Entity disambiguation (via description) batch_6a05c7c6e4148190bbdafd47ce2bdef4 completed May 14, 2026, 1:01 p.m.
Created at: April 10, 2026, 12:03 p.m.