Triple

T2523541
Position Surface form Disambiguated ID Type / Status
Subject CB1 receptor E55578 entity
Predicate antagonist P4675 FINISHED
Object rimonabant
Rimonabant is a selective cannabinoid CB1 receptor antagonist that was developed as an anti-obesity drug but withdrawn due to psychiatric side effects.
E275982 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: rimonabant | Statement: [CB1 receptor, antagonist, rimonabant]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: rimonabant
Context triple: [CB1 receptor, antagonist, rimonabant]
  • A. CB1 receptor
    The CB1 receptor is a G protein–coupled cannabinoid receptor in the brain and nervous system that mediates most of the psychoactive effects of cannabis.
  • B. Sabu
    Sabu is an alternative name for the Shabo language, a little-documented and possibly language-isolate tongue spoken by a small community in southwestern Ethiopia.
  • C. Substiane
    Substiane is a La Roche-Posay skincare line formulated to address loss of firmness, density, and comfort in mature or aging skin.
  • D. THC
    THC (tetrahydrocannabinol) is the primary psychoactive compound in cannabis responsible for the plant’s mind-altering effects.
  • E. Acubens
    Acubens is the traditional name of Alpha Cancri, a multiple star system in the constellation Cancer.
  • 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: rimonabant
Triple: [CB1 receptor, antagonist, rimonabant]
Generated description
Rimonabant is a selective cannabinoid CB1 receptor antagonist that was developed as an anti-obesity drug but withdrawn due to psychiatric side effects.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: rimonabant
Target entity description: Rimonabant is a selective cannabinoid CB1 receptor antagonist that was developed as an anti-obesity drug but withdrawn due to psychiatric side effects.
  • A. CB1 receptor
    The CB1 receptor is a G protein–coupled cannabinoid receptor in the brain and nervous system that mediates most of the psychoactive effects of cannabis.
  • B. Sabu
    Sabu is an alternative name for the Shabo language, a little-documented and possibly language-isolate tongue spoken by a small community in southwestern Ethiopia.
  • C. Substiane
    Substiane is a La Roche-Posay skincare line formulated to address loss of firmness, density, and comfort in mature or aging skin.
  • D. THC
    THC (tetrahydrocannabinol) is the primary psychoactive compound in cannabis responsible for the plant’s mind-altering effects.
  • E. Acubens
    Acubens is the traditional name of Alpha Cancri, a multiple star system in the constellation Cancer.
  • 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_69ab49e4749c8190813311efd1630f1b completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd23a0a548190b44393e0f823f7a9 completed March 7, 2026, 7:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69af2ba96a0c819091efd6d4ccf95ea5 completed March 9, 2026, 8:20 p.m.
NEDg Description generation batch_69af508c28f48190afc4aa1bc3c9adf3 completed March 9, 2026, 10:58 p.m.
NED2 Entity disambiguation (via description) batch_69af5155f85081908dd4a1859d0f7907 completed March 9, 2026, 11:01 p.m.
Created at: March 6, 2026, 9:46 p.m.