Triple

T16729491
Position Surface form Disambiguated ID Type / Status
Subject My Turn E406549 entity
Predicate producer P490 FINISHED
Object TnTXD
TnTXD is a music producer known for working on the track "My Turn."
 E1231193 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: TnTXD | Statement: [My Turn, producer, TnTXD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TnTXD
Context triple: [My Turn, producer, TnTXD]
  • A. TXK
    TXK is the IATA airport code for Texarkana Regional Airport, which serves the Texarkana area in Texas and Arkansas.
  • B. T for Texas
    "T for Texas" is a classic country song, originally known as "Blue Yodel No. 1" by Jimmie Rodgers, that has been widely covered and popularized in live performances by artists such as Waylon Jennings.
  • C. TDXP
    TDXP is the stock ticker symbol for the TecDAX index, which tracks major German technology companies listed on the Frankfurt Stock Exchange.
  • D. TX
    TX is the IATA airline designator assigned to Air Caraïbes, a French Caribbean airline.
  • E. TX
    TX is the commonly used abbreviation for the Tsukuba Express, a Japanese railway line connecting Akihabara in Tokyo with Tsukuba in Ibaraki Prefecture.
  • 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: TnTXD
Triple: [My Turn, producer, TnTXD]
Generated description
TnTXD is a music producer known for working on the track "My Turn."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TnTXD
Target entity description: TnTXD is a music producer known for working on the track "My Turn."
  • A. TXK
    TXK is the IATA airport code for Texarkana Regional Airport, which serves the Texarkana area in Texas and Arkansas.
  • B. T for Texas
    "T for Texas" is a classic country song, originally known as "Blue Yodel No. 1" by Jimmie Rodgers, that has been widely covered and popularized in live performances by artists such as Waylon Jennings.
  • C. TDXP
    TDXP is the stock ticker symbol for the TecDAX index, which tracks major German technology companies listed on the Frankfurt Stock Exchange.
  • D. TX
    TX is the IATA airline designator assigned to Air Caraïbes, a French Caribbean airline.
  • E. TX
    TX is the commonly used abbreviation for the Tsukuba Express, a Japanese railway line connecting Akihabara in Tokyo with Tsukuba in Ibaraki Prefecture.
  • 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_69d8838f242881908abd8bc138795886 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3874ad5b481908199e4d99ac4225e completed April 18, 2026, 1:29 p.m.
NED1 Entity disambiguation (via context triple) batch_6a009d483a8c8190b127f32dcc21be5a completed May 10, 2026, 2:59 p.m.
NEDg Description generation batch_6a00a12d77d8819087948d870e952ebb completed May 10, 2026, 3:15 p.m.
NED2 Entity disambiguation (via description) batch_6a00a1adb95c8190b0db1ef2dc0b7f13 completed May 10, 2026, 3:18 p.m.
Created at: April 10, 2026, 5:20 a.m.