Triple

T4672278
Position Surface form Disambiguated ID Type / Status
Subject Herbalife E103591 entity
Predicate tickerSymbol P1447 FINISHED
Object HLF
HLF is the stock ticker symbol for Herbalife, a global multi-level marketing company that sells nutritional supplements and personal care products.
 E462467 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: HLF | Statement: [Herbalife, tickerSymbol, HLF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: HLF
Context triple: [Herbalife, tickerSymbol, HLF]
  • A. HLC
    HLC is the commonly used abbreviation for the Harvard Longwood Campus, a major Harvard University hub for medical and public health education and research in Boston.
  • B. HL
    HL is the vehicle registration code used on license plates for the German city of Lübeck.
  • C. HAF
    HAF is the commonly used abbreviation for the Hellenic Air Force, the air warfare branch of Greece’s armed forces.
  • D. HLP
    HLP is the ICAO airline designator assigned to Sky Airline Perú, a Peruvian low-cost carrier.
  • E. HEL
    HEL is the three-letter IATA airport code for Helsinki Airport, the main international gateway to Finland’s capital region.
  • 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: HLF
Triple: [Herbalife, tickerSymbol, HLF]
Generated description
HLF is the stock ticker symbol for Herbalife, a global multi-level marketing company that sells nutritional supplements and personal care products.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: HLF
Target entity description: HLF is the stock ticker symbol for Herbalife, a global multi-level marketing company that sells nutritional supplements and personal care products.
  • A. HLC
    HLC is the commonly used abbreviation for the Harvard Longwood Campus, a major Harvard University hub for medical and public health education and research in Boston.
  • B. HL
    HL is the vehicle registration code used on license plates for the German city of Lübeck.
  • C. HAF
    HAF is the commonly used abbreviation for the Hellenic Air Force, the air warfare branch of Greece’s armed forces.
  • D. HLP
    HLP is the ICAO airline designator assigned to Sky Airline Perú, a Peruvian low-cost carrier.
  • E. HEL
    HEL is the three-letter IATA airport code for Helsinki Airport, the main international gateway to Finland’s capital region.
  • 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_69bd43dda32c8190938b37744ca270fc completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd6351ca8c8190871b9bebdb7ab88d completed March 20, 2026, 3:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69be039538048190b4075daf47355cee completed March 21, 2026, 2:33 a.m.
NEDg Description generation batch_69be055390c08190a85f92aec34b390a completed March 21, 2026, 2:41 a.m.
NED2 Entity disambiguation (via description) batch_69be05d277248190bf675151eca07247 completed March 21, 2026, 2:43 a.m.
Created at: March 20, 2026, 1:15 p.m.