Triple

T4246398
Position Surface form Disambiguated ID Type / Status
Subject Heartland E95537 entity
Predicate follows P134 FINISHED
Object M.O.
M.O. is a character whose actions and storyline are followed in the television series "Heartland."
 E424093 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: M.O. | Statement: [Heartland, follows, M.O.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: M.O.
Context triple: [Heartland, follows, M.O.]
  • A. M.O.
    M.O. is a studio album by American rapper Nelly that showcases his blend of hip hop and pop-rap with numerous guest collaborations.
  • B. MOJ
    MOJ is the abbreviated name for Japan’s Ministry of Justice, the government body responsible for legal affairs, the judiciary system, public prosecution, and immigration control.
  • C. MOR
    MOR is the ICAO airline designator assigned to the former U.S. low-fare carrier Morris Air.
  • D. .mo
    .mo is the country code top-level domain (ccTLD) assigned to the Macao Special Administrative Region of China for use on the internet.
  • E. OMO
    OMO is a globally recognized laundry detergent brand owned by Unilever, known for its stain-removal performance and family-oriented marketing.
  • 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: M.O.
Triple: [Heartland, follows, M.O.]
Generated description
M.O. is a character whose actions and storyline are followed in the television series "Heartland."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: M.O.
Target entity description: M.O. is a character whose actions and storyline are followed in the television series "Heartland."
  • A. M.O.
    M.O. is a studio album by American rapper Nelly that showcases his blend of hip hop and pop-rap with numerous guest collaborations.
  • B. MOJ
    MOJ is the abbreviated name for Japan’s Ministry of Justice, the government body responsible for legal affairs, the judiciary system, public prosecution, and immigration control.
  • C. MOR
    MOR is the ICAO airline designator assigned to the former U.S. low-fare carrier Morris Air.
  • D. .mo
    .mo is the country code top-level domain (ccTLD) assigned to the Macao Special Administrative Region of China for use on the internet.
  • E. OMO
    OMO is a globally recognized laundry detergent brand owned by Unilever, known for its stain-removal performance and family-oriented marketing.
  • 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_69b3453d91548190b4d4ef8fe52aa2ac completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34e9b64ac81908dc44eaae6829b50 completed March 12, 2026, 11:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5a87993648190b2969505cdf3c554 completed March 14, 2026, 6:27 p.m.
NEDg Description generation batch_69b5a966f154819083f7864b154f7518 completed March 14, 2026, 6:31 p.m.
NED2 Entity disambiguation (via description) batch_69b5aa0ed71c81908d9bf530b4557984 completed March 14, 2026, 6:33 p.m.
Created at: March 12, 2026, 11:05 p.m.