Triple

T16265436
Position Surface form Disambiguated ID Type / Status
Subject Ted Kennedy E394862 entity
Predicate nickname P55 FINISHED
Object Teeder
Teeder is a nickname for Ted Kennedy, the long-serving U.S. senator from Massachusetts and prominent member of the Kennedy political family.
 E1203767 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: Teeder | Statement: [Ted Kennedy, nickname, Teeder]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Teeder
Context triple: [Ted Kennedy, nickname, Teeder]
  • A. Teeja
    Teeja is a traditional festival celebrated by the Chhattisgarhi people, particularly by women, to pray for marital well-being and prosperity, often marked by fasting, folk songs, and cultural rituals.
  • B. Baldeo
    Baldeo is a town in India’s Braj region, known for its religious significance and association with Krishna-related traditions.
  • C. the Teapot
    The Teapot is a prominent asterism in the constellation Sagittarius whose stars outline the shape of a traditional teapot in the night sky.
  • D. Meeder
    Meeder is a municipality in the Bavarian region of Germany, situated within the Coburg district.
  • E. Kerketeas
    Kerketeas is a prominent mountain on the Greek island of Samos, known for its rugged terrain and significant elevation.
  • 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: Teeder
Triple: [Ted Kennedy, nickname, Teeder]
Generated description
Teeder is a nickname for Ted Kennedy, the long-serving U.S. senator from Massachusetts and prominent member of the Kennedy political family.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Teeder
Target entity description: Teeder is a nickname for Ted Kennedy, the long-serving U.S. senator from Massachusetts and prominent member of the Kennedy political family.
  • A. Teeja
    Teeja is a traditional festival celebrated by the Chhattisgarhi people, particularly by women, to pray for marital well-being and prosperity, often marked by fasting, folk songs, and cultural rituals.
  • B. Baldeo
    Baldeo is a town in India’s Braj region, known for its religious significance and association with Krishna-related traditions.
  • C. the Teapot
    The Teapot is a prominent asterism in the constellation Sagittarius whose stars outline the shape of a traditional teapot in the night sky.
  • D. Meeder
    Meeder is a municipality in the Bavarian region of Germany, situated within the Coburg district.
  • E. Kerketeas
    Kerketeas is a prominent mountain on the Greek island of Samos, known for its rugged terrain and significant elevation.
  • 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_69d87f221d8081909b0b2063e7528ba2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e245c73944819085633e6d2a69bae9 completed April 17, 2026, 2:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0017b877088190893a1f012e5d2463 completed May 10, 2026, 5:29 a.m.
NEDg Description generation batch_6a00183849bc8190a1896d240d8f91f0 completed May 10, 2026, 5:31 a.m.
NED2 Entity disambiguation (via description) batch_6a00190887088190a5a0eb2cfd674c98 completed May 10, 2026, 5:35 a.m.
Created at: April 10, 2026, 5:05 a.m.