Triple

T16613468
Position Surface form Disambiguated ID Type / Status
Subject Tapinoma E403634 entity
Predicate namedBy P63 FINISHED
Object Foerster
Foerster was a taxonomist and entomologist known for formally describing and naming various insect species, including those in the ant genus Tapinoma.
 E785574 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: Foerster | Statement: [Tapinoma, namedBy, Foerster]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Foerster
Context triple: [Tapinoma, namedBy, Foerster]
  • A. Fowler
    Fowler is a surname of English origin borne by numerous notable individuals across fields such as engineering, politics, sports, and the arts.
  • B. Forster
    Forster is a coastal town in New South Wales, Australia, known for its beaches, fishing, and holiday tourism.
  • C. Forster
    Forster is a German surname borne by numerous notable figures, including scientists, writers, and artists.
  • D. Hufstedler
    Hufstedler is the surname of Shirley Hufstedler, a prominent American judge and the first U.S. Secretary of Education.
  • E. Flecker
    Flecker is the surname of James Elroy Flecker, an early 20th-century British poet and playwright known for his symbolist and exotic verse.
  • 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: Foerster
Triple: [Tapinoma, namedBy, Foerster]
Generated description
Foerster was a taxonomist and entomologist known for formally describing and naming various insect species, including those in the ant genus Tapinoma.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Foerster
Target entity description: Foerster was a taxonomist and entomologist known for formally describing and naming various insect species, including those in the ant genus Tapinoma.
  • A. Fowler
    Fowler is a surname of English origin borne by numerous notable individuals across fields such as engineering, politics, sports, and the arts.
  • B. Forster chosen
    Forster is a German surname borne by numerous notable figures, including scientists, writers, and artists.
  • C. Forster
    Forster is a coastal town in New South Wales, Australia, known for its beaches, fishing, and holiday tourism.
  • D. Hufstedler
    Hufstedler is the surname of Shirley Hufstedler, a prominent American judge and the first U.S. Secretary of Education.
  • E. Flecker
    Flecker is the surname of James Elroy Flecker, an early 20th-century British poet and playwright known for his symbolist and exotic verse.
  • F. None of above.

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_69d883880d0c81908b5fcd454e767b60 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e360983d2c8190b1fe7f18aedfbde1 completed April 18, 2026, 10:44 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0075aeaa9881908bdef0f9f2b52e60 completed May 10, 2026, 12:10 p.m.
NEDg Description generation batch_6a007705f57881908b07a20ae8957c64 completed May 10, 2026, 12:16 p.m.
NED2 Entity disambiguation (via description) batch_6a007b18f0b08190a9ddc6ad7358d6b8 completed May 10, 2026, 12:33 p.m.
Created at: April 10, 2026, 5:17 a.m.