Triple

T38592270
Position Surface form Disambiguated ID Type / Status
Subject Inside E932480 entity
Predicate programmer P23571 FINISHED
Object Anders Hejdenberg
Anders Hejdenberg is a game developer and programmer best known for creating the original mobile game "Indestructible Tank" that inspired the popular title "Indestructible."
E2286369 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: Anders Hejdenberg | Statement: [Inside, programmer, Anders Hejdenberg]
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: Anders Hejdenberg
Triple: [Inside, programmer, Anders Hejdenberg]
Generated description
Anders Hejdenberg is a game developer and programmer best known for creating the original mobile game "Indestructible Tank" that inspired the popular title "Indestructible."

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_69f76ec654d48190b421111cf26e54d9 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fcd93cf5308190a45bd832a25d2eaa completed May 7, 2026, 6:26 p.m.
NED1 Entity disambiguation (via context triple) batch_6a46a83b9dd08190b0b570e44dc7e238 completed July 2, 2026, 6:04 p.m.
NEDg Description generation batch_6a46a95ddfc88190a039921b9da821b3 completed July 2, 2026, 6:09 p.m.
NED2 Entity disambiguation (via description) batch_6a46ac1574c481909cfeeb064a3450ff completed July 2, 2026, 6:21 p.m.
Created at: May 3, 2026, 4:32 p.m.