Triple

T32095074
Position Surface form Disambiguated ID Type / Status
Subject Tulkas E819702 entity
Predicate role P268 FINISHED
Object WarriorOfValinor
WarriorOfValinor is the title given to Tulkas, the mighty and joyful champion among the Valar in J.R.R. Tolkien’s legendarium, renowned for his unmatched strength and prowess in battle.
E1991919 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: WarriorOfValinor | Statement: [Tulkas, role, WarriorOfValinor]
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: WarriorOfValinor
Triple: [Tulkas, role, WarriorOfValinor]
Generated description
WarriorOfValinor is the title given to Tulkas, the mighty and joyful champion among the Valar in J.R.R. Tolkien’s legendarium, renowned for his unmatched strength and prowess in battle.

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_69f349004b2481908ce2e50af0d579a8 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6b6405b1881908f9739bf6af05dd1 completed May 3, 2026, 2:43 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2eddf93ef88190b5abe8893071548f completed June 14, 2026, 4:59 p.m.
NEDg Description generation batch_6a2ee7dad5a08190a2ace4e58d6f1a16 completed June 14, 2026, 5:41 p.m.
NED2 Entity disambiguation (via description) batch_6a2ee85d5e5c8190b0877e804984477d completed June 14, 2026, 5:43 p.m.
Created at: May 1, 2026, 12:25 a.m.