Triple

T6495521
Position Surface form Disambiguated ID Type / Status
Subject Alkermes E148148 entity
Predicate tickerSymbol P1447 FINISHED
Object ALKS
ALKS is the stock ticker symbol for Alkermes plc, a biopharmaceutical company focused on developing medicines for central nervous system diseases and oncology.
 E597289 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: ALKS | Statement: [Alkermes, tickerSymbol, ALKS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ALKS
Context triple: [Alkermes, tickerSymbol, ALKS]
  • A. ALK
    ALK is the ICAO airline designator used to identify SriLankan Airlines in international aviation operations.
  • B. ALV
    ALV is the stock ticker symbol for Allianz SE, a major global financial services and insurance company based in Germany.
  • C. ALP
    ALP is the commonly used abbreviation for the Australian Labor Party, a major centre-left political party in Australia.
  • D. ALP
    ALP is the commonly used abbreviation for Bolivia’s Plurinational Legislative Assembly, the country’s national bicameral legislature.
  • E. KSL
    KSL is the primary sign language used by the Deaf community in South Korea, with its own distinct grammar and vocabulary separate from spoken Korean.
  • 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: ALKS
Triple: [Alkermes, tickerSymbol, ALKS]
Generated description
ALKS is the stock ticker symbol for Alkermes plc, a biopharmaceutical company focused on developing medicines for central nervous system diseases and oncology.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ALKS
Target entity description: ALKS is the stock ticker symbol for Alkermes plc, a biopharmaceutical company focused on developing medicines for central nervous system diseases and oncology.
  • A. ALK
    ALK is the ICAO airline designator used to identify SriLankan Airlines in international aviation operations.
  • B. ALV
    ALV is the stock ticker symbol for Allianz SE, a major global financial services and insurance company based in Germany.
  • C. ALP
    ALP is the commonly used abbreviation for the Australian Labor Party, a major centre-left political party in Australia.
  • D. ALP
    ALP is the commonly used abbreviation for Bolivia’s Plurinational Legislative Assembly, the country’s national bicameral legislature.
  • E. KSL
    KSL is the primary sign language used by the Deaf community in South Korea, with its own distinct grammar and vocabulary separate from spoken Korean.
  • 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_69c009088f3081909cd467b05919de30 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c06ab958808190bd85e007e925ffc4 completed March 22, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c653c21f948190989da451bc573b4d completed March 27, 2026, 9:54 a.m.
NEDg Description generation batch_69c657fec3d4819080366e7469874c39 completed March 27, 2026, 10:12 a.m.
NED2 Entity disambiguation (via description) batch_69c65bb97e908190ab05174bae4ed9a8 completed March 27, 2026, 10:28 a.m.
Created at: March 22, 2026, 4:53 p.m.