Triple

T853523
Position Surface form Disambiguated ID Type / Status
Subject Mary Lee Woods E18439 entity
Predicate familyName P18 FINISHED
Object Woods
Woods is a common English surname of Anglo-Saxon origin, typically referring to someone who lived or worked in or near a forest.
 E99163 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: Woods | Statement: [Mary Lee Woods, familyName, Woods]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Woods
Context triple: [Mary Lee Woods, familyName, Woods]
  • A. South Woods
    South Woods is a wooded area within New York City's Central Park known for its naturalistic landscape and tranquil, forest-like setting.
  • B. Pollock Pines
    Pollock Pines is a small mountain community in the Sierra Nevada region of California, known as a gateway to outdoor recreation near Lake Tahoe and the Eldorado National Forest.
  • C. Rumsey Woods
    Rumsey Woods is a wooded area within Buffalo’s historic park and parkway system, known for its natural landscape and recreational green space.
  • D. Sarah Doublet Forest
    Sarah Doublet Forest is a protected conservation area in Littleton, Massachusetts, known for its wooded trails, wildlife habitat, and opportunities for passive outdoor recreation.
  • E. North Woods
    North Woods is a large, wooded section of New York City's Central Park designed to evoke a natural forest retreat within the urban landscape.
  • 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: Woods
Triple: [Mary Lee Woods, familyName, Woods]
Generated description
Woods is a common English surname of Anglo-Saxon origin, typically referring to someone who lived or worked in or near a forest.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Woods
Target entity description: Woods is a common English surname of Anglo-Saxon origin, typically referring to someone who lived or worked in or near a forest.
  • A. South Woods
    South Woods is a wooded area within New York City's Central Park known for its naturalistic landscape and tranquil, forest-like setting.
  • B. Pollock Pines
    Pollock Pines is a small mountain community in the Sierra Nevada region of California, known as a gateway to outdoor recreation near Lake Tahoe and the Eldorado National Forest.
  • C. Rumsey Woods
    Rumsey Woods is a wooded area within Buffalo’s historic park and parkway system, known for its natural landscape and recreational green space.
  • D. Sarah Doublet Forest
    Sarah Doublet Forest is a protected conservation area in Littleton, Massachusetts, known for its wooded trails, wildlife habitat, and opportunities for passive outdoor recreation.
  • E. North Woods
    North Woods is a large, wooded section of New York City's Central Park designed to evoke a natural forest retreat within the urban landscape.
  • 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_69a4938bdd3c8190a954a3c11844d9cf completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ac389a44819093396a58d2afa700 completed March 1, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69a792a29f448190b96d934656e5399e completed March 4, 2026, 2:02 a.m.
NEDg Description generation batch_69a79335d99c819098c72e7a86ad1130 completed March 4, 2026, 2:04 a.m.
NED2 Entity disambiguation (via description) batch_69a793c612d88190bce254142bd75f67 completed March 4, 2026, 2:07 a.m.
Created at: March 1, 2026, 7:39 p.m.