Triple

T10897984
Position Surface form Disambiguated ID Type / Status
Subject Linda Cardellini E257358 entity
Predicate notableWork P4 FINISHED
Object ER (TV series) E493594 NE FINISHED

How this triple was built (2 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: ER (TV series) | Statement: [Linda Cardellini, notableWork, ER (TV series)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ER (TV series)
Context triple: [Linda Cardellini, notableWork, ER (TV series)]
  • A. ER (TV series) chosen
    ER is a long-running American medical drama television series that follows the personal and professional lives of doctors and staff in a busy Chicago emergency room.
  • B. Seria
    Seria is an oil-producing coastal town in Brunei known as one of the country’s main petroleum hubs and the site of key historical events.
  • C. Eureka (TV series)
    Eureka is a science fiction comedy-drama television series about a secretive town populated by brilliant scientists whose experimental inventions frequently lead to unexpected and chaotic consequences.
  • D. Er
    Er is a minor biblical figure in the Book of Genesis, known as the firstborn son of Judah whose early death led to the levirate marriage of his widow Tamar.
  • E. ER3
    ER3 is the IATA aircraft type code used to designate the Embraer ERJ 135 regional jet.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6aa8550c8819095508a2ed9acf3db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d75d03a3fc81908df039b9b5ab9ca2 completed April 9, 2026, 8:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69e15524ec5c8190a330ce5fc16dd11d completed April 16, 2026, 9:31 p.m.
Created at: April 8, 2026, 9:21 p.m.