Triple

T16729903
Position Surface form Disambiguated ID Type / Status
Subject Quality Control E406559 entity
Predicate signedArtist P16560 FINISHED
Object Marlo
Marlo is an American rapper associated with the Atlanta-based hip-hop label Quality Control Music.
 E1231208 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: Marlo | Statement: [Quality Control, signedArtist, Marlo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Marlo
Context triple: [Quality Control, signedArtist, Marlo]
  • A. Marlo
    Marlo is a small coastal town in East Gippsland, Victoria, Australia, known for its location near the mouth of the Snowy River and its fishing and outdoor recreation.
  • B. Marlo
    Marlo is a fictional character associated with Tully, likely appearing in a narrative centered on that figure.
  • C. Marlohe
    Marlohe is the surname of French actress and model Bérénice Marlohe, best known for her role as Sévérine in the James Bond film "Skyfall."
  • D. Marla
    Marla is a feminine given name most notably borne by American actress and television personality Marla Maples.
  • E. Marylou
    Marylou is a free-spirited, impulsive young woman who embodies the restless, hedonistic energy of the Beat Generation in Jack Kerouac’s novel "On the Road."
  • 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: Marlo
Triple: [Quality Control, signedArtist, Marlo]
Generated description
Marlo is an American rapper associated with the Atlanta-based hip-hop label Quality Control Music.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Marlo
Target entity description: Marlo is an American rapper associated with the Atlanta-based hip-hop label Quality Control Music.
  • A. Marlo
    Marlo is a fictional character associated with Tully, likely appearing in a narrative centered on that figure.
  • B. Marlo
    Marlo is a small coastal town in East Gippsland, Victoria, Australia, known for its location near the mouth of the Snowy River and its fishing and outdoor recreation.
  • C. Marlohe
    Marlohe is the surname of French actress and model Bérénice Marlohe, best known for her role as Sévérine in the James Bond film "Skyfall."
  • D. Marla
    Marla is a feminine given name most notably borne by American actress and television personality Marla Maples.
  • E. Marylou
    Marylou is a free-spirited, impulsive young woman who embodies the restless, hedonistic energy of the Beat Generation in Jack Kerouac’s novel "On the Road."
  • 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_69d8838f242881908abd8bc138795886 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3874ad5b481908199e4d99ac4225e completed April 18, 2026, 1:29 p.m.
NED1 Entity disambiguation (via context triple) batch_6a009d483a8c8190b127f32dcc21be5a completed May 10, 2026, 2:59 p.m.
NEDg Description generation batch_6a00a12d77d8819087948d870e952ebb completed May 10, 2026, 3:15 p.m.
NED2 Entity disambiguation (via description) batch_6a00a1adb95c8190b0db1ef2dc0b7f13 completed May 10, 2026, 3:18 p.m.
Created at: April 10, 2026, 5:20 a.m.