Triple

T23709505
Position Surface form Disambiguated ID Type / Status
Subject Dr. Curt Connors E585820 entity
Predicate spouse P13 FINISHED
Object Martha Connors
Martha Connors is a supporting Marvel Comics character best known as the wife of Dr. Curt Connors (the Lizard) and the mother of their son Billy, often caught in the turmoil of his transformations and battles with Spider-Man.
E1610701 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: Martha Connors | Statement: [Dr. Curt Connors, spouse, Martha Connors]
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: Martha Connors
Triple: [Dr. Curt Connors, spouse, Martha Connors]
Generated description
Martha Connors is a supporting Marvel Comics character best known as the wife of Dr. Curt Connors (the Lizard) and the mother of their son Billy, often caught in the turmoil of his transformations and battles with Spider-Man.

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_69e24905f77881908194d645676acd60 completed April 17, 2026, 2:51 p.m.
NER Named-entity recognition batch_69f1b775a4288190bbee7bd4b5bbcd75 completed April 29, 2026, 7:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f760037608190b049108d95311941 completed May 21, 2026, 9:15 p.m.
NEDg Description generation batch_6a0f77cae9dc8190b324ac8deeac83c4 completed May 21, 2026, 9:23 p.m.
NED2 Entity disambiguation (via description) batch_6a0f78df8c9c81908eb3912b212862f9 completed May 21, 2026, 9:27 p.m.
Created at: April 17, 2026, 6:53 p.m.