Triple

T23747107
Position Surface form Disambiguated ID Type / Status
Subject Dallas Theological Seminary E586845 entity
Predicate notableFaculty P141 FINISHED
Object Charles C. Ryrie
Charles C. Ryrie was an American theologian and Bible scholar best known for his influential Ryrie Study Bible and his advocacy of dispensational theology.
E1613901 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: Charles C. Ryrie | Statement: [Dallas Theological Seminary, notableFaculty, Charles C. Ryrie]
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: Charles C. Ryrie
Triple: [Dallas Theological Seminary, notableFaculty, Charles C. Ryrie]
Generated description
Charles C. Ryrie was an American theologian and Bible scholar best known for his influential Ryrie Study Bible and his advocacy of dispensational theology.

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_69e24908efb08190bf755c3a9b91f222 completed April 17, 2026, 2:51 p.m.
NER Named-entity recognition batch_69f1bcbef1e481909fb49427dbd76460 completed April 29, 2026, 8:09 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f7e528f7c8190b42d401eeb99b20f completed May 21, 2026, 9:51 p.m.
NEDg Description generation batch_6a0f7ec8cb6481909a0e4b8fc736cffa completed May 21, 2026, 9:53 p.m.
NED2 Entity disambiguation (via description) batch_6a0f8038a6d08190a2f763934018c64e completed May 21, 2026, 9:59 p.m.
Created at: April 17, 2026, 7:12 p.m.