Triple

T35185753
Position Surface form Disambiguated ID Type / Status
Subject The Born Loser E1015979 entity
Predicate character P662 FINISHED
Object Gladys Thornapple
Gladys Thornapple is a central character in the long-running comic strip "The Born Loser," known as the practical, sharp-tongued wife of the hapless protagonist Brutus Thornapple.
E2200101 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 Thornapple | Statement: [The Born Loser, character, Gladys Thornapple]
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 Thornapple
Triple: [The Born Loser, character, Gladys Thornapple]
Generated description
Gladys Thornapple is a central character in the long-running comic strip "The Born Loser," known as the practical, sharp-tongued wife of the hapless protagonist Brutus Thornapple.

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_69f76ddd815c8190b822eea06630f9fb completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f78dc26cc0819097f39a5d04037670 completed May 3, 2026, 6:02 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3d1777998081909f67cfb4bf219b76 completed June 25, 2026, 11:56 a.m.
NEDg Description generation batch_6a3d1b56cc588190a4ffd53ef059f24a completed June 25, 2026, 12:13 p.m.
NED2 Entity disambiguation (via description) batch_6a3dd006dfe081908c9fc01e8ac53146 completed June 26, 2026, 1:04 a.m.
Created at: May 3, 2026, 4:02 p.m.