Triple
T8027209
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lawton Chiles |
E186884
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Lawton
Lawton is a masculine given name most notably associated with American politician and former Florida governor Lawton Chiles.
|
E713301
|
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: Lawton | Statement: [Lawton Chiles, givenName, Lawton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lawton Context triple: [Lawton Chiles, givenName, Lawton]
-
A.
Lawton
Lawton is a mid-sized city in southwestern Oklahoma known as a regional economic and cultural center near Fort Sill and the Wichita Mountains.
-
B.
Lawton
Lawton is a residential neighborhood in Havana, Cuba, known for its traditional urban character within the Diez de Octubre municipality.
-
C.
McAlester
McAlester is a regional hub city in southeastern Oklahoma known for its role as a commercial center and for housing the Oklahoma State Penitentiary.
-
D.
Bartlesville
Bartlesville is a small city in northeastern Oklahoma known for its oil industry heritage and distinctive architecture, including Frank Lloyd Wright’s Price Tower.
-
E.
Tulsa
Tulsa is a major city in northeastern Oklahoma known for its historic oil industry, distinctive Art Deco architecture, and vibrant arts and cultural scene.
- 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: Lawton Triple: [Lawton Chiles, givenName, Lawton]
Generated description
Lawton is a masculine given name most notably associated with American politician and former Florida governor Lawton Chiles.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lawton Target entity description: Lawton is a masculine given name most notably associated with American politician and former Florida governor Lawton Chiles.
-
A.
Lawton
Lawton is a mid-sized city in southwestern Oklahoma known as a regional economic and cultural center near Fort Sill and the Wichita Mountains.
-
B.
Lawton
Lawton is a residential neighborhood in Havana, Cuba, known for its traditional urban character within the Diez de Octubre municipality.
-
C.
McAlester
McAlester is a regional hub city in southeastern Oklahoma known for its role as a commercial center and for housing the Oklahoma State Penitentiary.
-
D.
Bartlesville
Bartlesville is a small city in northeastern Oklahoma known for its oil industry heritage and distinctive architecture, including Frank Lloyd Wright’s Price Tower.
-
E.
Tulsa
Tulsa is a major city in northeastern Oklahoma known for its historic oil industry, distinctive Art Deco architecture, and vibrant arts and cultural scene.
- 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_69ca82ad4e2c8190a693e3c9e30fe66f |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3eccacb0819082f7c3d6fd48e3c4 |
completed | March 31, 2026, 3:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc93bc11108190a34a35d0022f4bfd |
completed | April 1, 2026, 3:40 a.m. |
| NEDg | Description generation | batch_69cc9557c6148190a759021b6add0a61 |
completed | April 1, 2026, 3:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc96a8bb688190a352de1798b380f1 |
completed | April 1, 2026, 3:53 a.m. |
Created at: March 30, 2026, 5:21 p.m.