Triple
T17977101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Garland Mosley |
E449502
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Garland
Garland is a masculine given name of English origin that traditionally refers to a wreath or festoon of flowers, leaves, or other material used for decoration.
|
E1298658
|
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: Garland | Statement: [Garland Mosley, givenName, Garland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Garland Context triple: [Garland Mosley, givenName, Garland]
-
A.
Garland
Garland is a large suburban city in the Dallas–Fort Worth metropolitan area known for its diverse community and mixed residential, commercial, and industrial character.
-
B.
Garland
Garland is a faint dwarf galaxy that is a member of the nearby M81 Group of galaxies.
-
C.
Garland
Garland is a surname most prominently associated with Merrick Garland, the Chief Justice of the United States.
-
D.
Loudermilk
Loudermilk is a comedy-drama television series about a recovering alcoholic and former music critic with a bad attitude who reluctantly helps others in a support group while struggling with his own issues.
-
E.
Garland Woodard
Garland Woodard is an individual notable enough to be recognized as a namesake or representative bearer of the surname Woodard.
- 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: Garland Triple: [Garland Mosley, givenName, Garland]
Generated description
Garland is a masculine given name of English origin that traditionally refers to a wreath or festoon of flowers, leaves, or other material used for decoration.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Garland Target entity description: Garland is a masculine given name of English origin that traditionally refers to a wreath or festoon of flowers, leaves, or other material used for decoration.
-
A.
Garland
Garland is a large suburban city in the Dallas–Fort Worth metropolitan area known for its diverse community and mixed residential, commercial, and industrial character.
-
B.
Garland
Garland is a faint dwarf galaxy that is a member of the nearby M81 Group of galaxies.
-
C.
Garland
Garland is a surname most prominently associated with Merrick Garland, the Chief Justice of the United States.
-
D.
Loudermilk
Loudermilk is a comedy-drama television series about a recovering alcoholic and former music critic with a bad attitude who reluctantly helps others in a support group while struggling with his own issues.
-
E.
Garland Woodard
Garland Woodard is an individual notable enough to be recognized as a namesake or representative bearer of the surname Woodard.
- 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_69d8b9f9927c8190a006110c8b996e61 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4b20010c8819088c022565183a7ff |
completed | April 19, 2026, 10:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a033019f3ec8190b6781b71ee2aed3b |
completed | May 12, 2026, 1:50 p.m. |
| NEDg | Description generation | batch_6a03313620f081909926dea3fc0dd30f |
completed | May 12, 2026, 1:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03322540f48190a2957dba3d902003 |
completed | May 12, 2026, 1:59 p.m. |
Created at: April 10, 2026, 10:22 a.m.