Triple

T11815661
Position Surface form Disambiguated ID Type / Status
Subject Adam Goodes E280993 entity
Predicate familyName P18 FINISHED
Object Goodes
Goodes is the surname of Adam Goodes, a prominent Australian rules footballer and Indigenous rights advocate.
 E947663 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: Goodes | Statement: [Adam Goodes, familyName, Goodes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Goodes
Context triple: [Adam Goodes, familyName, Goodes]
  • A. Goode
    Goode is an English surname borne by various notable individuals across fields such as acting, politics, and academia.
  • B. Gooden
    Gooden is a surname most notably associated with former Major League Baseball pitcher Dwight "Doc" Gooden, a dominant star of the 1980s New York Mets.
  • C. Elgood
    Elgood is a small unincorporated community located in the state of West Virginia, United States.
  • D. Livengood
    Livengood is a small unincorporated community in central Alaska known historically for gold mining and its proximity to major transportation routes such as the Elliott Highway and the Trans-Alaska Pipeline corridor.
  • E. Goodenough
    Goodenough is a surname most prominently associated with John B. Goodenough, the Nobel Prize–winning materials scientist and co-inventor of the lithium-ion battery.
  • 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: Goodes
Triple: [Adam Goodes, familyName, Goodes]
Generated description
Goodes is the surname of Adam Goodes, a prominent Australian rules footballer and Indigenous rights advocate.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Goodes
Target entity description: Goodes is the surname of Adam Goodes, a prominent Australian rules footballer and Indigenous rights advocate.
  • A. Goode
    Goode is an English surname borne by various notable individuals across fields such as acting, politics, and academia.
  • B. Gooden
    Gooden is a surname most notably associated with former Major League Baseball pitcher Dwight "Doc" Gooden, a dominant star of the 1980s New York Mets.
  • C. Elgood
    Elgood is a small unincorporated community located in the state of West Virginia, United States.
  • D. Livengood
    Livengood is a small unincorporated community in central Alaska known historically for gold mining and its proximity to major transportation routes such as the Elliott Highway and the Trans-Alaska Pipeline corridor.
  • E. Goodenough
    Goodenough is a surname most prominently associated with John B. Goodenough, the Nobel Prize–winning materials scientist and co-inventor of the lithium-ion battery.
  • 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_69d6ab26aae88190b2489efcb2a24234 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a5ccbbd481908c9013cb5a50c079 completed April 10, 2026, 7:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69f131b62abc8190a02f584541baaee5 completed April 28, 2026, 10:16 p.m.
NEDg Description generation batch_69f141b31c9081908f19ff870f5f3c33 completed April 28, 2026, 11:24 p.m.
NED2 Entity disambiguation (via description) batch_69f14fdb39d48190828668fc535d7f6a completed April 29, 2026, 12:24 a.m.
Created at: April 8, 2026, 9:42 p.m.