Triple

T24393383
Position Surface form Disambiguated ID Type / Status
Subject 1969 ABA All-Star Game E614958 entity
Predicate followedBy P78 FINISHED
Object 1970 ABA All-Star Game
The 1970 ABA All-Star Game was the American Basketball Association’s midseason exhibition showcasing its top players during the 1969–70 season.
E1633391 NE FINISHED

How this triple was built (2 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: 1970 ABA All-Star Game | Statement: [1969 ABA All-Star Game, followedBy, 1970 ABA All-Star Game]
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: 1970 ABA All-Star Game
Triple: [1969 ABA All-Star Game, followedBy, 1970 ABA All-Star Game]
Generated description
The 1970 ABA All-Star Game was the American Basketball Association’s midseason exhibition showcasing its top players during the 1969–70 season.

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_69e2d7e509b88190a53155d4f3de45ce completed April 18, 2026, 1:01 a.m.
NER Named-entity recognition batch_69f2945a2f6c8190b11a027c446ffe34 completed April 29, 2026, 11:29 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0fe35cefe48190b76168a2afb066ce completed May 22, 2026, 5:02 a.m.
NEDg Description generation batch_6a0fe41d67308190be8f1977f1cd2782 completed May 22, 2026, 5:05 a.m.
NED2 Entity disambiguation (via description) batch_6a0fe498856c8190bd35cc957266b936 completed May 22, 2026, 5:07 a.m.
Created at: April 18, 2026, 2:04 a.m.