Triple

T35702850
Position Surface form Disambiguated ID Type / Status
Subject Danielle Sofer E1031634 entity
Predicate nickname P55 FINISHED
Object Danny
Danny is the informal nickname commonly used for Danielle Sofer.
E2152121 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: Danny | Statement: [Danielle Sofer, nickname, Danny]
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: Danny
Triple: [Danielle Sofer, nickname, Danny]
Generated description
Danny is the informal nickname commonly used for Danielle Sofer.

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_69f76e0d393c8190b6303c64408736db completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7a0c7580c8190bf3c6cbeecc6c0b1 completed May 3, 2026, 7:23 p.m.
NED1 Entity disambiguation (via context triple) batch_6a38729a5fa88190b86b1995cdecdbbd completed June 21, 2026, 11:24 p.m.
NEDg Description generation batch_6a3873491f6c81909dc67d2d2c991c40 completed June 21, 2026, 11:27 p.m.
NED2 Entity disambiguation (via description) batch_6a3873a998ac8190bf3e6903b6fdeb2b completed June 21, 2026, 11:28 p.m.
Created at: May 3, 2026, 4:05 p.m.