Triple

T34482714
Position Surface form Disambiguated ID Type / Status
Subject Starker Leopold E885231 entity
Predicate notableWork P4 FINISHED
Object Culture and Habitat of Deer
Culture and Habitat of Deer is a seminal wildlife ecology work by biologist Starker Leopold that examines deer behavior, social organization, and environmental relationships.
 E2098967 NE FINISHED

How this triple was built (2 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: Culture and Habitat of Deer | Statement: [Starker Leopold, notableWork, Culture and Habitat of Deer]
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: Culture and Habitat of Deer
Triple: [Starker Leopold, notableWork, Culture and Habitat of Deer]
Generated description
Culture and Habitat of Deer is a seminal wildlife ecology work by biologist Starker Leopold that examines deer behavior, social organization, and environmental relationships.

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_69f349c947fc81909d30b53c194d6ea1 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f71ccfef3481908c5df0a04f9cb980 completed May 3, 2026, 10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a37213a07f08190954ce3fa792f7d7a completed June 20, 2026, 11:24 p.m.
NEDg Description generation batch_6a3721ea92a48190bb0fc6df5267138e completed June 20, 2026, 11:27 p.m.
NED2 Entity disambiguation (via description) batch_6a3722d05034819087a1399552af21cc completed June 20, 2026, 11:31 p.m.
Created at: May 1, 2026, 2:01 a.m.