Triple

T20301442
Position Surface form Disambiguated ID Type / Status
Subject Alexion Pharmaceuticals E505487 entity
Predicate tickerSymbol P1447 FINISHED
Object ALXN
ALXN is the stock ticker symbol for Alexion Pharmaceuticals, a biopharmaceutical company known for developing treatments for rare and severe diseases.
 E1423949 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: ALXN | Statement: [Alexion Pharmaceuticals, tickerSymbol, ALXN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ALXN
Context triple: [Alexion Pharmaceuticals, tickerSymbol, ALXN]
  • A. ALN
    ALN is the station code for Allende, a Mexico City Metro station on Line 2 in the historic center of Mexico City.
  • B. ALN
    ALN is the standard abbreviation used for the professional ice hockey team known as the Allen Americans.
  • C. AltX
    AltX is the Johannesburg Stock Exchange’s alternative board designed to provide a listing platform for small and medium-sized high-growth companies.
  • D. AKX
    AKX is the IATA airport code for Aktobe International Airport in Aktobe, Kazakhstan.
  • E. AKX
    AKX is the ICAO airline designator assigned to ANA Wings, a regional subsidiary of All Nippon Airways in Japan.
  • 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: ALXN
Triple: [Alexion Pharmaceuticals, tickerSymbol, ALXN]
Generated description
ALXN is the stock ticker symbol for Alexion Pharmaceuticals, a biopharmaceutical company known for developing treatments for rare and severe diseases.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ALXN
Target entity description: ALXN is the stock ticker symbol for Alexion Pharmaceuticals, a biopharmaceutical company known for developing treatments for rare and severe diseases.
  • A. ALN
    ALN is the station code for Allende, a Mexico City Metro station on Line 2 in the historic center of Mexico City.
  • B. ALN
    ALN is the standard abbreviation used for the professional ice hockey team known as the Allen Americans.
  • C. AltX
    AltX is the Johannesburg Stock Exchange’s alternative board designed to provide a listing platform for small and medium-sized high-growth companies.
  • D. AKX
    AKX is the IATA airport code for Aktobe International Airport in Aktobe, Kazakhstan.
  • E. AKX
    AKX is the ICAO airline designator assigned to ANA Wings, a regional subsidiary of All Nippon Airways in Japan.
  • 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_69e0b4b8ab648190906e18538c250148 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6770c700c81909da247cef0d0f1eb completed April 20, 2026, 6:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08611762e481909ee2f41434c86aa5 completed May 16, 2026, 12:20 p.m.
NEDg Description generation batch_6a0863506f4481909c106c49f6b71191 completed May 16, 2026, 12:30 p.m.
NED2 Entity disambiguation (via description) batch_6a0863f4bb788190b6ef1fe57279badb completed May 16, 2026, 12:32 p.m.
Created at: April 16, 2026, 11:17 a.m.