Triple

T3143388
Position Surface form Disambiguated ID Type / Status
Subject La La Anthony E65705 entity
Predicate notableWork P4 FINISHED
Object BH90210
BH90210 is a 2019 meta-revival television series that reunites the original Beverly Hills, 90210 cast playing heightened versions of themselves as they attempt to reboot their iconic ’90s show.
 E332604 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: BH90210 | Statement: [La La Anthony, notableWork, BH90210]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BH90210
Context triple: [La La Anthony, notableWork, BH90210]
  • A. BE2
    The BE2 was a British single-engine biplane widely used in World War I, primarily for reconnaissance and training roles.
  • B. B190
    B190 is the ICAO aircraft type designator for the Beechcraft 1900, a twin-engine turboprop regional airliner commonly used for commuter and cargo operations.
  • C. BH
    BH is the international vehicle registration code assigned to the Kingdom of Bahrain.
  • D. BH
    BH is the UK postcode area covering Bournemouth and surrounding parts of southern England.
  • E. BEY
    BEY is the IATA airport code for Beirut–Rafic Hariri International Airport, the main international gateway to Lebanon’s capital city.
  • 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: BH90210
Triple: [La La Anthony, notableWork, BH90210]
Generated description
BH90210 is a 2019 meta-revival television series that reunites the original Beverly Hills, 90210 cast playing heightened versions of themselves as they attempt to reboot their iconic ’90s show.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BH90210
Target entity description: BH90210 is a 2019 meta-revival television series that reunites the original Beverly Hills, 90210 cast playing heightened versions of themselves as they attempt to reboot their iconic ’90s show.
  • A. BE2
    The BE2 was a British single-engine biplane widely used in World War I, primarily for reconnaissance and training roles.
  • B. B190
    B190 is the ICAO aircraft type designator for the Beechcraft 1900, a twin-engine turboprop regional airliner commonly used for commuter and cargo operations.
  • C. BH
    BH is the international vehicle registration code assigned to the Kingdom of Bahrain.
  • D. BH
    BH is the UK postcode area covering Bournemouth and surrounding parts of southern England.
  • E. BEY
    BEY is the IATA airport code for Beirut–Rafic Hariri International Airport, the main international gateway to Lebanon’s capital city.
  • 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_69ad8582f564819088c27e1f96153938 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada59489a88190b0962cef091f4ddb completed March 8, 2026, 4:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69b224e9029c8190bd88dbb18b5f71a8 completed March 12, 2026, 2:28 a.m.
NEDg Description generation batch_69b225c419cc8190ac157b5996132d3f completed March 12, 2026, 2:32 a.m.
NED2 Entity disambiguation (via description) batch_69b2264e67748190920fbd2db5355de4 completed March 12, 2026, 2:34 a.m.
Created at: March 8, 2026, 3:05 p.m.