Triple

T27097995
Position Surface form Disambiguated ID Type / Status
Subject Aldo Ray E686359 entity
Predicate fullName P16 FINISHED
Object Aldo Da Re
Aldo Da Re, better known by his stage name Aldo Ray, was an American film actor noted for his distinctive raspy voice and tough-guy roles in 1950s and 1960s Hollywood movies.
 E2295504 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: Aldo Da Re | Statement: [Aldo Ray, fullName, Aldo Da Re]
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: Aldo Da Re
Triple: [Aldo Ray, fullName, Aldo Da Re]
Generated description
Aldo Da Re, better known by his stage name Aldo Ray, was an American film actor noted for his distinctive raspy voice and tough-guy roles in 1950s and 1960s Hollywood movies.

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_69ef1489f8b481908e24a1985982bd26 completed April 27, 2026, 7:47 a.m.
NER Named-entity recognition batch_69f623b2b1048190a718869c992aa3c5 completed May 2, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_6a7d63d738b08190b70436637b1cf1ca completed Aug. 13, 2026, 6:27 a.m.
NEDg Description generation batch_6a7d646775208190998ea7a0d0cef849 completed Aug. 13, 2026, 6:29 a.m.
NED2 Entity disambiguation (via description) batch_6a7d64ceea1c8190a300b4d3eef466ea completed Aug. 13, 2026, 6:31 a.m.
Created at: April 27, 2026, 8:45 a.m.