Triple

T19000023
Position Surface form Disambiguated ID Type / Status
Subject Gannicus E464922 entity
Predicate loveInterest P7325 FINISHED
Object Saxa
Saxa is a fierce Germanic warrior and former slave who becomes a notable ally and lover within the rebel ranks in the TV series "Spartacus."
E1353381 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: Saxa | Statement: [Gannicus, loveInterest, Saxa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saxa
Context triple: [Gannicus, loveInterest, Saxa]
  • A. Sasa
    Sasa is a given name and surname used in various cultures, often as a variant of names like Saša or Sasha.
  • B. Rupea
    Rupea is a small historic town in central Romania, known for its medieval hilltop fortress and location within Brașov County in Transylvania.
  • C. Sassella
    Sassella is a renowned subregion of Italy’s Valtellina wine area, best known for its steep terraced vineyards producing distinctive Nebbiolo-based wines.
  • D. Sekyra
    Sekyra is a notable novel by Czech writer Ludvík Vaculík, recognized for its critical portrayal of life under the communist regime in Czechoslovakia.
  • E. Sosva
    Sosva is a rural locality in Sverdlovsk Oblast, Russia, historically known as the site of a Soviet-era labor camp where Finnish communist leader Kullervo Manner died.
  • 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: Saxa
Triple: [Gannicus, loveInterest, Saxa]
Generated description
Saxa is a fierce Germanic warrior and former slave who becomes a notable ally and lover within the rebel ranks in the TV series "Spartacus."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Saxa
Target entity description: Saxa is a fierce Germanic warrior and former slave who becomes a notable ally and lover within the rebel ranks in the TV series "Spartacus."
  • A. Sasa
    Sasa is a given name and surname used in various cultures, often as a variant of names like Saša or Sasha.
  • B. Rupea
    Rupea is a small historic town in central Romania, known for its medieval hilltop fortress and location within Brașov County in Transylvania.
  • C. Sassella
    Sassella is a renowned subregion of Italy’s Valtellina wine area, best known for its steep terraced vineyards producing distinctive Nebbiolo-based wines.
  • D. Sekyra
    Sekyra is a notable novel by Czech writer Ludvík Vaculík, recognized for its critical portrayal of life under the communist regime in Czechoslovakia.
  • E. Sosva
    Sosva is a rural locality in Sverdlovsk Oblast, Russia, historically known as the site of a Soviet-era labor camp where Finnish communist leader Kullervo Manner died.
  • 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_69d8dd01a56c81909694a128c66b21d7 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d684d37c8190b975f04a47fa7b92 completed April 20, 2026, 7:32 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05b45b9ca0819090a85f5708e9c632 completed May 14, 2026, 11:39 a.m.
NEDg Description generation batch_6a05b68205948190a6846e2cd8ba66ae completed May 14, 2026, 11:48 a.m.
NED2 Entity disambiguation (via description) batch_6a05b73aa91c8190abe816e72d2f56f7 completed May 14, 2026, 11:51 a.m.
Created at: April 10, 2026, 12:01 p.m.