Triple

T12901469
Position Surface form Disambiguated ID Type / Status
Subject The Doctor E308620 entity
Predicate alsoKnownAs P39 FINISHED
Object EMH
EMH, or the Emergency Medical Hologram, is the sentient holographic doctor program from Star Trek: Voyager known for providing medical care aboard starships and space stations.
 E1008168 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: EMH | Statement: [The Doctor, alsoKnownAs, EMH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: EMH
Context triple: [The Doctor, alsoKnownAs, EMH]
  • A. EMB
    EMB is the Environmental Management Bureau, a government agency responsible for formulating and enforcing environmental policies, regulations, and programs.
  • B. Em
    Em is a common shortened form of the given name Emma, often used as an informal nickname.
  • C. EMES
    EMES is the abbreviated name for the Europe and Middle East Section, an organizational division focused on activities and interests spanning those two regions.
  • D. EMA
    EMA is the three-letter IATA airport code for East Midlands Airport in England, which serves the East Midlands region with domestic and international flights.
  • E. EMA
    EMA is the abbreviated name for the Joint Staff headquarters that oversees and coordinates the operations of the French Armed Forces.
  • 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: EMH
Triple: [The Doctor, alsoKnownAs, EMH]
Generated description
EMH, or the Emergency Medical Hologram, is the sentient holographic doctor program from Star Trek: Voyager known for providing medical care aboard starships and space stations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: EMH
Target entity description: EMH, or the Emergency Medical Hologram, is the sentient holographic doctor program from Star Trek: Voyager known for providing medical care aboard starships and space stations.
  • A. EMB
    EMB is the Environmental Management Bureau, a government agency responsible for formulating and enforcing environmental policies, regulations, and programs.
  • B. Em
    Em is a common shortened form of the given name Emma, often used as an informal nickname.
  • C. EMES
    EMES is the abbreviated name for the Europe and Middle East Section, an organizational division focused on activities and interests spanning those two regions.
  • D. EMA
    EMA is the three-letter IATA airport code for East Midlands Airport in England, which serves the East Midlands region with domestic and international flights.
  • E. EMA
    EMA is the abbreviated name for the Joint Staff headquarters that oversees and coordinates the operations of the French Armed Forces.
  • 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_69d7bdf7c1f0819098102569a8d8cbf5 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97180ee708190b60a3e58c42f764f completed April 10, 2026, 9:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6a56189b081909ed838addcb6d265 completed May 3, 2026, 1:31 a.m.
NEDg Description generation batch_69f6a6179cdc8190976daa1384032445 completed May 3, 2026, 1:34 a.m.
NED2 Entity disambiguation (via description) batch_69f6a6cbec348190a96a0194b2d6be4b completed May 3, 2026, 1:37 a.m.
Created at: April 9, 2026, 5:40 p.m.