Triple

T36923619
Position Surface form Disambiguated ID Type / Status
Subject Zilpha Geary E913273 entity
Predicate primarySeriesSeason P134107 FINISHED
Object Taboo season 1
Taboo season 1 is the first series of the dark historical drama starring Tom Hardy as James Delaney, a mysterious adventurer entangled in conspiracy and revenge in early 19th-century London.
 E2204367 NE FINISHED

How this triple was built (3 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: Taboo season 1 | Statement: [Zilpha Geary, primarySeriesSeason, Taboo season 1]
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: Taboo season 1
Triple: [Zilpha Geary, primarySeriesSeason, Taboo season 1]
Generated description
Taboo season 1 is the first series of the dark historical drama starring Tom Hardy as James Delaney, a mysterious adventurer entangled in conspiracy and revenge in early 19th-century London.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: primarySeriesSeason
Context triple: [Zilpha Geary, primarySeriesSeason, Taboo season 1]
  • A. productionSeason
    Indicates the time period or season during which something is produced or created.
  • B. viewingSeason
    Indicates the season or time period during which something is typically viewed, accessed, or experienced.
  • C. primarySeries
    Indicates that one entity is the main or principal sequence, set, or collection to which another entity is related or belongs.
  • D. episodeSeason chosen
    Indicates that an episode belongs to, or is part of, a specific season within a series.
  • E. playsSeasonSeries
    Indicates that an entity participates as a competitor or team in a particular season of a series or league.
  • F. None of above.

Provenance (6 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_69f76e885b848190bad82c87e9525486 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_6a037c8e2c648190a65fc9c7872861af completed May 12, 2026, 7:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3e16338c408190980dc2837f1529c0 completed June 26, 2026, 6:03 a.m.
NEDg Description generation batch_6a3e16a50d8c819094deb898cab90904 completed June 26, 2026, 6:05 a.m.
NED2 Entity disambiguation (via description) batch_6a3e1b4f74f48190b12de0f00e7ab8b9 completed June 26, 2026, 6:25 a.m.
PD Predicate disambiguation batch_6a037a10036481909c71188b2a0e7f04 completed May 12, 2026, 7:05 p.m.
Created at: May 3, 2026, 4:13 p.m.