Triple
T1715743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roger de Montgomery |
E37285
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
de Montgomery
De Montgomery is a Norman noble family name historically associated with influential medieval lords in England and Normandy.
|
E194744
|
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: de Montgomery | Statement: [Roger de Montgomery, familyName, de Montgomery]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: de Montgomery Context triple: [Roger de Montgomery, familyName, de Montgomery]
-
A.
Overton
Overton is a small unincorporated community in southeastern Nevada known as a gateway to the nearby Lake Mead National Recreation Area and the Valley of Fire State Park.
-
B.
Monroe
Monroe is a small city in North Carolina that serves as part of the greater Charlotte metropolitan area.
-
C.
Monroe
Monroe is a mid-sized city in northeastern Louisiana known as a regional hub for commerce, education, and culture along the Ouachita River.
-
D.
Monroe
Monroe is a Chicago 'L' rapid transit station located in the Loop and served by the Chicago Transit Authority's Red Line.
-
E.
Monroe
Monroe is a surname most famously associated with Earl Monroe, a Hall of Fame American basketball player known for his flashy playing style.
- 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: de Montgomery Triple: [Roger de Montgomery, familyName, de Montgomery]
Generated description
De Montgomery is a Norman noble family name historically associated with influential medieval lords in England and Normandy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: de Montgomery Target entity description: De Montgomery is a Norman noble family name historically associated with influential medieval lords in England and Normandy.
-
A.
Overton
Overton is a small unincorporated community in southeastern Nevada known as a gateway to the nearby Lake Mead National Recreation Area and the Valley of Fire State Park.
-
B.
Monroe
Monroe is a small city in North Carolina that serves as part of the greater Charlotte metropolitan area.
-
C.
Monroe
Monroe is a mid-sized city in northeastern Louisiana known as a regional hub for commerce, education, and culture along the Ouachita River.
-
D.
Monroe
Monroe is a Chicago 'L' rapid transit station located in the Loop and served by the Chicago Transit Authority's Red Line.
-
E.
Monroe
Monroe is a surname most famously associated with Earl Monroe, a Hall of Fame American basketball player known for his flashy playing style.
- 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_69a8861912dc8190931af43b4b9158a7 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa6334cd20819086aed7b8adcba4d9 |
completed | March 6, 2026, 5:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad8ae3ea048190b25beeb4bd7306ce |
completed | March 8, 2026, 2:42 p.m. |
| NEDg | Description generation | batch_69ad979b7f2c819094c907bed705db3b |
completed | March 8, 2026, 3:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad9831a87c819089fc3b590ab7ecb2 |
completed | March 8, 2026, 3:39 p.m. |
Created at: March 4, 2026, 7:30 p.m.