Triple

T13511899
Position Surface form Disambiguated ID Type / Status
Subject Dear Brutus E322659 entity
Predicate mainCharacter P1183 FINISHED
Object Lob
Lob is the enigmatic, possibly supernatural figure at the center of J.M. Barrie’s play "Dear Brutus," who brings together a group of dissatisfied people to explore alternate versions of their lives.
 E1044474 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: Lob | Statement: [Dear Brutus, mainCharacter, Lob]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lob
Context triple: [Dear Brutus, mainCharacter, Lob]
  • A. LÖ
    LÖ is the vehicle registration code for the district of Lörrach in the German state of Baden-Württemberg.
  • B. Lyov
    Lyov is a transliterated form of the Russian given name Lev, commonly associated with figures like the writer Leo (Lev) Tolstoy.
  • C. Lopar
    Lopar is a coastal village and popular tourist resort located on the northern part of the Croatian island of Rab, known for its sandy beaches such as Paradise Beach.
  • D. Lo
    Lo is a short form of the Dutch given name Lodewijk, commonly used as an informal or affectionate nickname.
  • E. Lo
    Lo is a dialect of the Lo-Toga language spoken on the Torres Islands in northern Vanuatu.
  • 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: Lob
Triple: [Dear Brutus, mainCharacter, Lob]
Generated description
Lob is the enigmatic, possibly supernatural figure at the center of J.M. Barrie’s play "Dear Brutus," who brings together a group of dissatisfied people to explore alternate versions of their lives.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lob
Target entity description: Lob is the enigmatic, possibly supernatural figure at the center of J.M. Barrie’s play "Dear Brutus," who brings together a group of dissatisfied people to explore alternate versions of their lives.
  • A. LÖ
    LÖ is the vehicle registration code for the district of Lörrach in the German state of Baden-Württemberg.
  • B. Lyov
    Lyov is a transliterated form of the Russian given name Lev, commonly associated with figures like the writer Leo (Lev) Tolstoy.
  • C. Lopar
    Lopar is a coastal village and popular tourist resort located on the northern part of the Croatian island of Rab, known for its sandy beaches such as Paradise Beach.
  • D. Lo
    Lo is a short form of the Dutch given name Lodewijk, commonly used as an informal or affectionate nickname.
  • E. Lo
    Lo is a nickname for Lolita, most famously associated with the provocative young heroine of Vladimir Nabokov’s novel "Lolita."
  • 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_69d80766a21881909f21a1b7421d3b8a completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaf86a6208190be8c18f7a0158f23 completed April 12, 2026, 2:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75492676c81909602745e2b6436cb completed May 3, 2026, 1:58 p.m.
NEDg Description generation batch_69f7555173d08190be887e81c148192e completed May 3, 2026, 2:01 p.m.
NED2 Entity disambiguation (via description) batch_69f75675df788190b4aa562fe0bc1d75 completed May 3, 2026, 2:06 p.m.
Created at: April 9, 2026, 9:43 p.m.