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.