Triple

T25538122
Position Surface form Disambiguated ID Type / Status
Subject Tamzin Merchant E640098 entity
Predicate notableWork P4 FINISHED
Object Dragonheart 3: The Sorcerer's Curse
Dragonheart 3: The Sorcerer's Curse is a fantasy adventure film in the Dragonheart franchise, featuring a young knight, a dragon, and a magical quest set in a medieval world.
E1684211 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: Dragonheart 3: The Sorcerer's Curse | Statement: [Tamzin Merchant, notableWork, Dragonheart 3: The Sorcerer's Curse]
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: Dragonheart 3: The Sorcerer's Curse
Triple: [Tamzin Merchant, notableWork, Dragonheart 3: The Sorcerer's Curse]
Generated description
Dragonheart 3: The Sorcerer's Curse is a fantasy adventure film in the Dragonheart franchise, featuring a young knight, a dragon, and a magical quest set in a medieval world.

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_69e75dbfff7081909b0aa779d48321d2 completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f5f891f1e88190b353ffb5c3a5d12f completed May 2, 2026, 1:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a10ad910dfc8190a79ab292659b18ab completed May 22, 2026, 7:25 p.m.
NEDg Description generation batch_6a10ae583b108190801bf4219bf2467a completed May 22, 2026, 7:28 p.m.
NED2 Entity disambiguation (via description) batch_6a10af62078481908759f9df2167d81f completed May 22, 2026, 7:32 p.m.
Created at: April 21, 2026, 3:24 p.m.