Triple

T33066584
Position Surface form Disambiguated ID Type / Status
Subject The Fisherman E846115 entity
Predicate hasAlias P455 FINISHED
Object The Hook Man
The Hook Man is an urban-legend figure typically portrayed as a vengeful killer with a hook for a hand who stalks unsuspecting victims, often near lovers’ lanes or isolated roads.
 E2033400 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 Hook Man | Statement: [The Fisherman, hasAlias, The Hook Man]
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 Hook Man
Triple: [The Fisherman, hasAlias, The Hook Man]
Generated description
The Hook Man is an urban-legend figure typically portrayed as a vengeful killer with a hook for a hand who stalks unsuspecting victims, often near lovers’ lanes or isolated roads.

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_69f3495405b88190967af2157b43b896 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6d37e1e348190ba1e767acbc4f148 completed May 3, 2026, 4:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a34e52788e48190ac651e32572db639 completed June 19, 2026, 6:43 a.m.
NEDg Description generation batch_6a34e588a4208190b83f8015859fb574 completed June 19, 2026, 6:45 a.m.
NED2 Entity disambiguation (via description) batch_6a34e65cd52c819095d49ff45c521ad1 completed June 19, 2026, 6:49 a.m.
Created at: May 1, 2026, 1:25 a.m.