Triple

T9997829
Position Surface form Disambiguated ID Type / Status
Subject Karel Roden E197247 entity
Predicate notableWork P4 FINISHED
Object The Last Drop
The Last Drop is a World War II action film featuring Czech actor Karel Roden in a prominent role.
 E833704 NE FINISHED

How this triple was built (4 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 Drop | Statement: [Karel Roden, notableWork, The Last Drop]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: The Last Drop
Context triple: [Karel Roden, notableWork, The Last Drop]
  • A. Life by the Drop
    "Life by the Drop" is a posthumously released acoustic blues song by Stevie Ray Vaughan that reflects on friendship, fate, and his struggles with addiction.
  • B. La Soif
    La Soif is the debut novel of Algerian writer Assia Djebar, exploring themes of female identity, desire, and colonial society in mid-20th-century Algeria.
  • C. Last Call
    Last Call is an off-price retail chain offering discounted designer and luxury merchandise associated with Neiman Marcus.
  • D. Last Call
    "Last Call" is a song by American singer Katy Perry, released under her birth name Katy Hudson during her early Christian music career.
  • E. Last to Die
    "Last to Die" is a crime thriller novel by Tess Gerritsen featuring medical examiner Maura Isles and detective Jane Rizzoli as they investigate a series of murders linked to a group of traumatized orphans.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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 Drop
Triple: [Karel Roden, notableWork, The Last Drop]
Generated description
The Last Drop is a World War II action film featuring Czech actor Karel Roden in a prominent role.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: The Last Drop
Target entity description: The Last Drop is a World War II action film featuring Czech actor Karel Roden in a prominent role.
  • A. Life by the Drop
    "Life by the Drop" is a posthumously released acoustic blues song by Stevie Ray Vaughan that reflects on friendship, fate, and his struggles with addiction.
  • B. La Soif
    La Soif is the debut novel of Algerian writer Assia Djebar, exploring themes of female identity, desire, and colonial society in mid-20th-century Algeria.
  • C. Last Call
    Last Call is an off-price retail chain offering discounted designer and luxury merchandise associated with Neiman Marcus.
  • D. Last Call
    "Last Call" is a song by American singer Katy Perry, released under her birth name Katy Hudson during her early Christian music career.
  • E. Last to Die
    "Last to Die" is a crime thriller novel by Tess Gerritsen featuring medical examiner Maura Isles and detective Jane Rizzoli as they investigate a series of murders linked to a group of traumatized orphans.
  • F. None of above. chosen

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_69ca82f3b61c81908ecc2c1c96dbc2e4 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdcc8aa1a881909879a694496f11a5 completed April 2, 2026, 1:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69d258439fe88190b17da69f542ecf61 completed April 5, 2026, 12:40 p.m.
NEDg Description generation batch_69d259701e488190b288c9f523a1ec87 completed April 5, 2026, 12:45 p.m.
NED2 Entity disambiguation (via description) batch_69d259da25e081909ac184f4fa80c57e completed April 5, 2026, 12:47 p.m.
Created at: March 30, 2026, 8:51 p.m.