Triple

T37399474
Position Surface form Disambiguated ID Type / Status
Subject Experiment in Terror E928954 entity
Predicate screenwriter P2831 FINISHED
Object The Gordons
The Gordons were a husband-and-wife writing team best known for their crime and suspense novels, several of which, including "Experiment in Terror," were adapted for film and television.
E2225387 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: The Gordons | Statement: [Experiment in Terror, screenwriter, The Gordons]
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: The Gordons
Triple: [Experiment in Terror, screenwriter, The Gordons]
Generated description
The Gordons were a husband-and-wife writing team best known for their crime and suspense novels, several of which, including "Experiment in Terror," were adapted for film and television.

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_69f76ebbf79c8190b85bbcf3a6be57e4 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fb8d5c71ec8190b908ea6e50a6f951 completed May 6, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_6a4077079e048190a4342c7cfd68d39f completed June 28, 2026, 1:21 a.m.
NEDg Description generation batch_6a407793fcf881909f668943a27834ca completed June 28, 2026, 1:23 a.m.
NED2 Entity disambiguation (via description) batch_6a40781d2d808190b2118b042356795c completed June 28, 2026, 1:25 a.m.
Created at: May 3, 2026, 4:16 p.m.