Triple

T15983044
Position Surface form Disambiguated ID Type / Status
Subject Juno Therapeutics E387620 entity
Predicate tickerSymbol P1447 FINISHED
Object JUNO
JUNO was the NASDAQ ticker symbol for Juno Therapeutics, a biotechnology company focused on developing CAR-T and other immunotherapies for cancer.
E1188117 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: JUNO | Statement: [Juno Therapeutics, tickerSymbol, JUNO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: JUNO
Context triple: [Juno Therapeutics, tickerSymbol, JUNO]
  • A. Juno Pronuba
    Juno Pronuba is an aspect of the Roman goddess Juno revered as the protector and patroness of marriage and married women.
  • B. Juno Champion
    Juno Champion is the daughter of Will Champion, the drummer of the British rock band Coldplay.
  • C. Yuja
    Yuja is a renowned Chinese classical pianist celebrated for her virtuosic technique and charismatic stage presence.
  • D. Juhl
    Juhl is a surname most notably associated with Jerry Juhl, the acclaimed writer for The Muppets.
  • E. Gala
    Gala was a Numidian king of the Massylii tribe in North Africa during the 3rd century BCE, known for his role in the power dynamics surrounding Carthage and Rome before and during the Second Punic War.
  • 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: JUNO
Triple: [Juno Therapeutics, tickerSymbol, JUNO]
Generated description
JUNO was the NASDAQ ticker symbol for Juno Therapeutics, a biotechnology company focused on developing CAR-T and other immunotherapies for cancer.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: JUNO
Target entity description: JUNO was the NASDAQ ticker symbol for Juno Therapeutics, a biotechnology company focused on developing CAR-T and other immunotherapies for cancer.
  • A. Juno Pronuba
    Juno Pronuba is an aspect of the Roman goddess Juno revered as the protector and patroness of marriage and married women.
  • B. Juno Champion
    Juno Champion is the daughter of Will Champion, the drummer of the British rock band Coldplay.
  • C. Yuja
    Yuja is a renowned Chinese classical pianist celebrated for her virtuosic technique and charismatic stage presence.
  • D. Juhl
    Juhl is a surname most notably associated with Jerry Juhl, the acclaimed writer for The Muppets.
  • E. Gala
    Gala was a Numidian king of the Massylii tribe in North Africa during the 3rd century BCE, known for his role in the power dynamics surrounding Carthage and Rome before and during the Second Punic War.
  • 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_69d86da94ccc819083d187f5dc6a123e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e15756d6488190ac35da00e96ce21d completed April 16, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffc3cdf7848190848e9081027dc027 completed May 9, 2026, 11:31 p.m.
NEDg Description generation batch_69ffc5669c1c81909bacf61c96cb7816 completed May 9, 2026, 11:38 p.m.
NED2 Entity disambiguation (via description) batch_69ffc5c7db1c8190b4e1de6f6e3ce8a0 completed May 9, 2026, 11:39 p.m.
Created at: April 10, 2026, 4:54 a.m.