Triple
T592200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mayor of Dallas |
E17298
|
entity |
| Predicate | positionHeldBy |
P8
|
FINISHED |
| Object |
John Neely Bryan
John Neely Bryan was an American trader and lawyer best known as the founder of the city of Dallas, Texas.
|
E156808
|
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: John Neely Bryan | Statement: [Mayor of Dallas, positionHeldBy, John Neely Bryan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Neely Bryan Context triple: [Mayor of Dallas, positionHeldBy, John Neely Bryan]
-
A.
John C. Brown
John C. Brown is a political figure who served as Governor of California and resided in the California Governor's Mansion during his tenure.
-
B.
John Davis
John Davis was a 16th-century English navigator and explorer best known for his Arctic voyages in search of the Northwest Passage.
-
C.
John Taylor Johnston
John Taylor Johnston was a 19th-century American businessman and arts patron who served as the first president of the Metropolitan Museum of Art and played a key role in its early development.
-
D.
James Lick Robnett
James Lick Robnett is an individual whose personal name is associated with the surname Robnett.
-
E.
Enos M. Barton
Enos M. Barton was an American engineer and businessman best known as a co-founder and early leader of Western Electric, a major telecommunications manufacturing company.
- 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: John Neely Bryan Triple: [Mayor of Dallas, positionHeldBy, John Neely Bryan]
Generated description
John Neely Bryan was an American trader and lawyer best known as the founder of the city of Dallas, Texas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: John Neely Bryan Target entity description: John Neely Bryan was an American trader and lawyer best known as the founder of the city of Dallas, Texas.
-
A.
John C. Brown
John C. Brown is a political figure who served as Governor of California and resided in the California Governor's Mansion during his tenure.
-
B.
John Davis
John Davis was a 16th-century English navigator and explorer best known for his Arctic voyages in search of the Northwest Passage.
-
C.
John Taylor Johnston
John Taylor Johnston was a 19th-century American businessman and arts patron who served as the first president of the Metropolitan Museum of Art and played a key role in its early development.
-
D.
James Lick Robnett
James Lick Robnett is an individual whose personal name is associated with the surname Robnett.
-
E.
Enos M. Barton
Enos M. Barton was an American engineer and businessman best known as a co-founder and early leader of Western Electric, a major telecommunications manufacturing company.
- 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_69a49379d09c8190ac7e00b24e2810b1 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49bbaf53081908eed240bed09f63b |
completed | March 1, 2026, 8:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acce4b94d08190b7747b0b6d61e3e1 |
completed | March 8, 2026, 1:18 a.m. |
| NEDg | Description generation | batch_69accf3931bc81908e38755e2d024270 |
completed | March 8, 2026, 1:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69accfb8acfc8190bba379d8bb114c29 |
completed | March 8, 2026, 1:24 a.m. |
Created at: March 1, 2026, 7:33 p.m.