Triple

T120221
Position Surface form Disambiguated ID Type / Status
Subject Robin Hood E2428 entity
Predicate ally P4662 FINISHED
Object Maid Marian
Maid Marian is a legendary English folk heroine traditionally portrayed as Robin Hood’s noble-born love interest and a skilled, resourceful member of his outlaw band.
E12990 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: Maid Marian | Statement: [Robin Hood, ally, Maid Marian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maid Marian
Context triple: [Robin Hood, ally, Maid Marian]
  • A. Goodwin Knight
    Goodwin Knight was an American Republican politician who served as the 31st governor of California in the 1950s.
  • B. Barbara
    Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
  • C. Louise
    Louise is a feminine given name of French origin, traditionally associated with nobility and widely used in many European and English-speaking countries.
  • D. Eleanor
    Eleanor is a feminine given name most famously borne by Eleanor Roosevelt, the influential First Lady of the United States and human rights advocate.
  • E. Eleanor
    Eleanor was one of the merchant ships in Boston Harbor whose tea cargo was destroyed during the Boston Tea Party protest against British taxation in 1773.
  • 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: Maid Marian
Triple: [Robin Hood, ally, Maid Marian]
Generated description
Maid Marian is a legendary English folk heroine traditionally portrayed as Robin Hood’s noble-born love interest and a skilled, resourceful member of his outlaw band.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Maid Marian
Target entity description: Maid Marian is a legendary English folk heroine traditionally portrayed as Robin Hood’s noble-born love interest and a skilled, resourceful member of his outlaw band.
  • A. Knight of the Bath
    The Knight of the Bath is a rank of knighthood within the British Order of the Bath, historically bestowed as a high honor for distinguished military or civil service.
  • B. Goodwin Knight
    Goodwin Knight was an American Republican politician who served as the 31st governor of California in the 1950s.
  • C. Barbara
    Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
  • D. Louise
    Louise is a feminine given name of French origin, traditionally associated with nobility and widely used in many European and English-speaking countries.
  • E. Eleanor
    Eleanor is a feminine given name most famously borne by Eleanor Roosevelt, the influential First Lady of the United States and human rights advocate.
  • 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_69a2506c5428819085c28a8884790e29 completed Feb. 28, 2026, 2:18 a.m.
NER Named-entity recognition batch_69a25715cfb881909ffb488f21a4a16d completed Feb. 28, 2026, 2:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2917de638819087f7c16d21963c63 completed Feb. 28, 2026, 6:55 a.m.
NEDg Description generation batch_69a295bbc23c81908194d6f4bea4fcd4 completed Feb. 28, 2026, 7:14 a.m.
NED2 Entity disambiguation (via description) batch_69a2968bffd881908147c66838776fef completed Feb. 28, 2026, 7:17 a.m.
Created at: Feb. 28, 2026, 2:24 a.m.