Triple

T29868084
Position Surface form Disambiguated ID Type / Status
Subject Alfonso Santacana E758508 entity
Predicate notableWork P4 FINISHED
Object The Last Man on Earth
The Last Man on Earth is a 1964 post-apocalyptic horror film, based on Richard Matheson’s novel "I Am Legend," in which Vincent Price plays a lone survivor battling vampiric plague victims.
E729051 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 Last Man on Earth | Statement: [Alfonso Santacana, notableWork, The Last Man on Earth]
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 Last Man on Earth
Triple: [Alfonso Santacana, notableWork, The Last Man on Earth]
Generated description
The Last Man on Earth is a 1964 post-apocalyptic horror film, based on Richard Matheson’s novel "I Am Legend," in which Vincent Price plays a lone survivor battling vampiric plague victims.

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_69f2245b4dec8190b85f664d918a00a5 completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_69f6768b2bf48190af4821d43d7ee766 completed May 2, 2026, 10:11 p.m.
NED1 Entity disambiguation (via context triple) batch_6a271409b05c81908aeea1bd67ca2345 completed June 8, 2026, 7:12 p.m.
NEDg Description generation batch_6a2714c737548190a30df9372a12fe0d completed June 8, 2026, 7:15 p.m.
NED2 Entity disambiguation (via description) batch_6a27169881f881909b270a024969a7df completed June 8, 2026, 7:23 p.m.
Created at: April 29, 2026, 5:52 p.m.