Triple

T28889143
Position Surface form Disambiguated ID Type / Status
Subject The Phantom E732646 entity
Predicate title P38 FINISHED
Object The Man Who Cannot Die
The Man Who Cannot Die is a nickname for The Phantom, a costumed crime-fighting hero from a long-running comic strip who is believed by his enemies to be immortal.
 E1838012 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 Man Who Cannot Die | Statement: [The Phantom, title, The Man Who Cannot Die]
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 Man Who Cannot Die
Triple: [The Phantom, title, The Man Who Cannot Die]
Generated description
The Man Who Cannot Die is a nickname for The Phantom, a costumed crime-fighting hero from a long-running comic strip who is believed by his enemies to be immortal.

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_69f05b07bdec819080cadfe147aa1f25 completed April 28, 2026, 7 a.m.
NER Named-entity recognition batch_69f65a744e1c8190bff56db4cb0b68df completed May 2, 2026, 8:11 p.m.
NED1 Entity disambiguation (via context triple) batch_6a24d404aad0819096a24015ed237719 completed June 7, 2026, 2:14 a.m.
NEDg Description generation batch_6a24d86d449c81909e4ae0398027854c completed June 7, 2026, 2:33 a.m.
NED2 Entity disambiguation (via description) batch_6a24d91253a48190b8e220fd7d72d3e8 completed June 7, 2026, 2:36 a.m.
Created at: April 28, 2026, 7:53 a.m.