Triple

T27252906
Position Surface form Disambiguated ID Type / Status
Subject John Putch E687531 entity
Predicate notableWork P4 FINISHED
Object The Poseidon Adventure (2005 film)
The Poseidon Adventure (2005 film) is a made-for-television disaster movie that reimagines the classic capsized-ocean-liner survival story for a contemporary audience.
E1763658 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 Poseidon Adventure (2005 film) | Statement: [John Putch, notableWork, The Poseidon Adventure (2005 film)]
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 Poseidon Adventure (2005 film)
Triple: [John Putch, notableWork, The Poseidon Adventure (2005 film)]
Generated description
The Poseidon Adventure (2005 film) is a made-for-television disaster movie that reimagines the classic capsized-ocean-liner survival story for a contemporary audience.

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_69ef35567e808190a94458cd44ebff0c completed April 27, 2026, 10:07 a.m.
NER Named-entity recognition batch_69f626b71a748190be67fea2d48e6126 completed May 2, 2026, 4:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1262812ee481908344110c4d018a37 completed May 24, 2026, 2:29 a.m.
NEDg Description generation batch_6a126390f0d88190b2355174dfe50a85 completed May 24, 2026, 2:33 a.m.
NED2 Entity disambiguation (via description) batch_6a12641d09a881908d4fd0d679ff38b3 completed May 24, 2026, 2:36 a.m.
Created at: April 27, 2026, 10:46 a.m.