Triple

T32224536
Position Surface form Disambiguated ID Type / Status
Subject Eönwë E823158 entity
Predicate associatedWith P37 FINISHED
Object Manwë’s eagles
Manwë’s eagles are the great, sentient eagles of Middle-earth who serve as the messengers and agents of the Vala Manwë, often intervening at pivotal moments to aid the forces of good.
 E1997788 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: Manwë’s eagles | Statement: [Eönwë, associatedWith, Manwë’s eagles]
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: Manwë’s eagles
Triple: [Eönwë, associatedWith, Manwë’s eagles]
Generated description
Manwë’s eagles are the great, sentient eagles of Middle-earth who serve as the messengers and agents of the Vala Manwë, often intervening at pivotal moments to aid the forces of good.

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_69f3490b4f948190b99e4f999f5be25f completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6bbc8c6c881908ce99e774c010ff5 completed May 3, 2026, 3:06 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2f3ba36a288190a30af08560811e6f completed June 14, 2026, 11:39 p.m.
NEDg Description generation batch_6a2f3ce130f88190ae960723f7724e69 completed June 14, 2026, 11:44 p.m.
NED2 Entity disambiguation (via description) batch_6a2f417c081081909fdbc5dfacdf273d completed June 15, 2026, 12:04 a.m.
Created at: May 1, 2026, 12:38 a.m.