Triple

T23509254
Position Surface form Disambiguated ID Type / Status
Subject The White Cliffs of Dover (1944 film) E572370 entity
Predicate screenwriter P2831 FINISHED
Object Gladys Hurlbut
Gladys Hurlbut was an American screenwriter and playwright active in the mid-20th century, known for her work on films such as the wartime drama "The White Cliffs of Dover" (1944).
E1697824 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: Gladys Hurlbut | Statement: [The White Cliffs of Dover (1944 film), screenwriter, Gladys Hurlbut]
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: Gladys Hurlbut
Triple: [The White Cliffs of Dover (1944 film), screenwriter, Gladys Hurlbut]
Generated description
Gladys Hurlbut was an American screenwriter and playwright active in the mid-20th century, known for her work on films such as the wartime drama "The White Cliffs of Dover" (1944).

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_69e245b5e4208190bac8a6509867e394 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a902c0788190840d7df1b5450b4d completed April 29, 2026, 6:45 a.m.
NED1 Entity disambiguation (via context triple) batch_6a10d9d054248190ba78bbefd1342268 completed May 22, 2026, 10:33 p.m.
NEDg Description generation batch_6a10db772c408190875e23a357eb75d9 completed May 22, 2026, 10:40 p.m.
NED2 Entity disambiguation (via description) batch_6a10dc2096b881909e87c9cc277bc831 completed May 22, 2026, 10:43 p.m.
Created at: April 17, 2026, 6:07 p.m.