Triple

T26319529
Position Surface form Disambiguated ID Type / Status
Subject High Commissioner of the Levant E662065 entity
Predicate positionHeldBy P8 FINISHED
Object Jean de la Porte du Theil
Jean de la Porte du Theil was a French colonial administrator who served as a senior official overseeing French interests and governance in the Levant during the mandate period.
E1730719 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: Jean de la Porte du Theil | Statement: [High Commissioner of the Levant, positionHeldBy, Jean de la Porte du Theil]
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: Jean de la Porte du Theil
Triple: [High Commissioner of the Levant, positionHeldBy, Jean de la Porte du Theil]
Generated description
Jean de la Porte du Theil was a French colonial administrator who served as a senior official overseeing French interests and governance in the Levant during the mandate period.

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_69ee812e73048190aae587f1d51e5a06 completed April 26, 2026, 9:18 p.m.
NER Named-entity recognition batch_69f60f299fd0819089685b371ddfae1b completed May 2, 2026, 2:50 p.m.
NED1 Entity disambiguation (via context triple) batch_6a11c7f5466c8190aa6b825834b20cc7 completed May 23, 2026, 3:29 p.m.
NEDg Description generation batch_6a11c8d922608190b7b1d32a42e986d5 completed May 23, 2026, 3:33 p.m.
NED2 Entity disambiguation (via description) batch_6a11c99a6eec81909171f7d03a056fc8 completed May 23, 2026, 3:36 p.m.
Created at: April 26, 2026, 10:27 p.m.