Triple

T26870580
Position Surface form Disambiguated ID Type / Status
Subject Ascot Partners E676599 entity
Predicate generalPartner P19907 FINISHED
Object Gabriel Capital Corporation
Gabriel Capital Corporation is an investment management firm known for managing hedge funds and partnerships, including serving as general partner to vehicles like Ascot Partners.
E1743362 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: Gabriel Capital Corporation | Statement: [Ascot Partners, generalPartner, Gabriel Capital Corporation]
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: Gabriel Capital Corporation
Triple: [Ascot Partners, generalPartner, Gabriel Capital Corporation]
Generated description
Gabriel Capital Corporation is an investment management firm known for managing hedge funds and partnerships, including serving as general partner to vehicles like Ascot Partners.

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_69eee9ba94bc8190b44c5d4397d04ecd completed April 27, 2026, 4:44 a.m.
NER Named-entity recognition batch_69f61e9b57bc8190a262eb0203f9dd3f completed May 2, 2026, 3:56 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12135f35c8819095a267c4864b91b7 completed May 23, 2026, 8:51 p.m.
NEDg Description generation batch_6a12150278448190b2538abe4f8d2e6f completed May 23, 2026, 8:58 p.m.
NED2 Entity disambiguation (via description) batch_6a1215e830648190afc5de590a2a2cc1 completed May 23, 2026, 9:02 p.m.
Created at: April 27, 2026, 5:32 a.m.