Triple

T20712838
Position Surface form Disambiguated ID Type / Status
Subject Dinosaur Protection Group E509090 entity
Predicate hasMember P10 FINISHED
Object Franklin Webb
Franklin Webb is a fictional systems analyst and dinosaur rights activist featured in the Jurassic World film series as a member of Claire Dearing’s Dinosaur Protection Group.
E1747882 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: Franklin Webb | Statement: [Dinosaur Protection Group, hasMember, Franklin Webb]
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: Franklin Webb
Triple: [Dinosaur Protection Group, hasMember, Franklin Webb]
Generated description
Franklin Webb is a fictional systems analyst and dinosaur rights activist featured in the Jurassic World film series as a member of Claire Dearing’s Dinosaur Protection Group.

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_69e0b4c40ad88190b81f77695366d328 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c1ce84e48190922db93ed4b5d21b completed April 21, 2026, 12:16 a.m.
NED1 Entity disambiguation (via context triple) batch_6a121e64ef3081908b39a3c83e4440f3 completed May 23, 2026, 9:38 p.m.
NEDg Description generation batch_6a121fa58ae08190b70faa7e3c81eae8 completed May 23, 2026, 9:44 p.m.
NED2 Entity disambiguation (via description) batch_6a1220284ddc819085b3ca2cad3fbfa9 completed May 23, 2026, 9:46 p.m.
Created at: April 16, 2026, 12:15 p.m.