Triple
T9847305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hamblen County |
E239370
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Manley
Manley is a small community located within Hamblen County in the state of Tennessee, United States.
|
E824181
|
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: Manley | Statement: [Hamblen County, contains, Manley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Manley Context triple: [Hamblen County, contains, Manley]
-
A.
Toland
Toland is a surname most notably associated with Gregg Toland, the pioneering American cinematographer renowned for his innovative deep-focus techniques in films like "Citizen Kane."
-
B.
Mackenzell
Mackenzell is a small village in the Hesse region of central Germany.
-
C.
Tilghman
Tilghman is a masculine given name of English origin that has been borne by various notable American figures, including politicians and military officers.
-
D.
Leland
Leland is a masculine given name of English origin, historically associated with figures such as American industrialist and Stanford University founder Leland Stanford.
-
E.
Leahey
Leahey is a surname variant of Leahy, an Irish family name of Gaelic origin.
- 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: Manley Triple: [Hamblen County, contains, Manley]
Generated description
Manley is a small community located within Hamblen County in the state of Tennessee, United States.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Manley Target entity description: Manley is a small community located within Hamblen County in the state of Tennessee, United States.
-
A.
Toland
Toland is a surname most notably associated with Gregg Toland, the pioneering American cinematographer renowned for his innovative deep-focus techniques in films like "Citizen Kane."
-
B.
Mackenzell
Mackenzell is a small village in the Hesse region of central Germany.
-
C.
Tilghman
Tilghman is a masculine given name of English origin that has been borne by various notable American figures, including politicians and military officers.
-
D.
Leland
Leland is a masculine given name of English origin, historically associated with figures such as American industrialist and Stanford University founder Leland Stanford.
-
E.
Leahey
Leahey is a surname variant of Leahy, an Irish family name of Gaelic origin.
- 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_69ca84e3f0c48190ada72a65ebd50efd |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb362d81081908f41cc25baca5fda |
completed | April 2, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1d5e6279c8190adb7e79ac1161bfa |
completed | April 5, 2026, 3:24 a.m. |
| NEDg | Description generation | batch_69d1d6917f0081908b2c82a826873faf |
completed | April 5, 2026, 3:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1d73452b48190ac3a0d6498a9a641 |
completed | April 5, 2026, 3:29 a.m. |
Created at: March 30, 2026, 8:34 p.m.