Triple

T14582390
Position Surface form Disambiguated ID Type / Status
Subject Roxanne Lee E342224 entity
Predicate notableWork P4 FINISHED
Object E.N.G.
E.N.G. is a Canadian television drama series that follows the personal and professional lives of staff at a fictional Toronto television news station.
 E1109117 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: E.N.G. | Statement: [Roxanne Lee, notableWork, E.N.G.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: E.N.G.
Context triple: [Roxanne Lee, notableWork, E.N.G.]
  • A. Engenni
    Engenni is an ethnic group in Nigeria, primarily located in Rivers State, known for its distinct Engenni language and cultural traditions.
  • B. Engen
    Engen is a surname of Norwegian origin borne by various notable individuals across fields such as aviation, sports, and public service.
  • C. Engen era
    The Engen era was a Japanese historical period name (nengō) used by the Southern Court during the Nanboku-chō period in the early 14th century.
  • D. Engi
    Engi was a Japanese era name (nengō) of the early 10th century, notable for its association with Emperor Daigo’s reign and significant political and cultural developments in the Heian period.
  • E. ENK
    ENK is the ICAO airline designator assigned to Equair, an Ecuadorian commercial airline.
  • 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: E.N.G.
Triple: [Roxanne Lee, notableWork, E.N.G.]
Generated description
E.N.G. is a Canadian television drama series that follows the personal and professional lives of staff at a fictional Toronto television news station.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: E.N.G.
Target entity description: E.N.G. is a Canadian television drama series that follows the personal and professional lives of staff at a fictional Toronto television news station.
  • A. Engenni
    Engenni is an ethnic group in Nigeria, primarily located in Rivers State, known for its distinct Engenni language and cultural traditions.
  • B. Engen
    Engen is a surname of Norwegian origin borne by various notable individuals across fields such as aviation, sports, and public service.
  • C. Engen era
    The Engen era was a Japanese historical period name (nengō) used by the Southern Court during the Nanboku-chō period in the early 14th century.
  • D. Engi
    Engi was a Japanese era name (nengō) of the early 10th century, notable for its association with Emperor Daigo’s reign and significant political and cultural developments in the Heian period.
  • E. ENK
    ENK is the ICAO airline designator assigned to Equair, an Ecuadorian commercial airline.
  • 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_69d822ddc0f081909cd8163c7de298cd completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb41e71748190a1deacc819dd26d3 completed April 14, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd94ba235c81909e0408ccf2be9628 completed May 8, 2026, 7:46 a.m.
NEDg Description generation batch_69fd9619f33881908e8d95ef09256d34 completed May 8, 2026, 7:51 a.m.
NED2 Entity disambiguation (via description) batch_69fd96e97ec48190aae9b25ce7154802 completed May 8, 2026, 7:55 a.m.
Created at: April 10, 2026, 1:24 a.m.