Triple

T12618826
Position Surface form Disambiguated ID Type / Status
Subject Robert Magaw E301324 entity
Predicate familyName P18 FINISHED
Object Magaw
Magaw is a surname most notably associated with Robert Magaw, an American lawyer and Continental Army officer during the Revolutionary War.
E992134 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: Magaw | Statement: [Robert Magaw, familyName, Magaw]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Magaw
Context triple: [Robert Magaw, familyName, Magaw]
  • A. Magav
    Magav is the Hebrew name for Israel’s Border Police, a gendarmerie-style force responsible for border security, counterterrorism, and law enforcement in sensitive areas.
  • B. Maw
    The Maw is a terrifying end-of-the-line afterlife prison in World of Warcraft’s Shadowlands, where the most irredeemable souls are eternally tormented under the Jailer’s dominion.
  • C. Mahagi
    Mahagi is a town in northeastern Democratic Republic of the Congo, located near the border with Uganda in Ituri Province.
  • D. Mawé
    Mawé is an indigenous Tupian language spoken by the Sateré-Mawé people of the Brazilian Amazon.
  • E. Mazani
    Mazani is an alternative name for the Mazanderani language, an Iranian language spoken primarily along the southern coast of the Caspian Sea in northern Iran.
  • 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: Magaw
Triple: [Robert Magaw, familyName, Magaw]
Generated description
Magaw is a surname most notably associated with Robert Magaw, an American lawyer and Continental Army officer during the Revolutionary War.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Magaw
Target entity description: Magaw is a surname most notably associated with Robert Magaw, an American lawyer and Continental Army officer during the Revolutionary War.
  • A. Magav
    Magav is the Hebrew name for Israel’s Border Police, a gendarmerie-style force responsible for border security, counterterrorism, and law enforcement in sensitive areas.
  • B. Maw
    The Maw is a terrifying end-of-the-line afterlife prison in World of Warcraft’s Shadowlands, where the most irredeemable souls are eternally tormented under the Jailer’s dominion.
  • C. Mahagi
    Mahagi is a town in northeastern Democratic Republic of the Congo, located near the border with Uganda in Ituri Province.
  • D. Mawé
    Mawé is an indigenous Tupian language spoken by the Sateré-Mawé people of the Brazilian Amazon.
  • E. Mazani
    Mazani is an alternative name for the Mazanderani language, an Iranian language spoken primarily along the southern coast of the Caspian Sea in northern Iran.
  • 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_69d7bdeaf49c8190b13800111fa77ea3 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d960c75c9c819092265ebc2b39f21d completed April 10, 2026, 8:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65ed507988190b9d46586f3c3584c completed May 2, 2026, 8:30 p.m.
NEDg Description generation batch_69f65fb03b248190b264230b84b17635 completed May 2, 2026, 8:33 p.m.
NED2 Entity disambiguation (via description) batch_69f6608ec32c8190803c6f5677c300d6 completed May 2, 2026, 8:37 p.m.
Created at: April 9, 2026, 5:13 p.m.