Triple
T1349209
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tanco v. Haslam |
E28842
|
entity |
| Predicate | plaintiff |
P660
|
FINISHED |
| Object |
Kellie Miller
Kellie Miller is one of the plaintiffs who challenged Tennessee’s ban on recognizing same-sex marriages in the federal court case Tanco v. Haslam.
|
E279237
|
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: Kellie Miller | Statement: [Tanco v. Haslam, plaintiff, Kellie Miller]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kellie Miller Context triple: [Tanco v. Haslam, plaintiff, Kellie Miller]
-
A.
McKaley Miller
McKaley Miller is an American actress best known for her role as Rose Hattenbarger on the television series "Hart of Dixie."
-
B.
Lindsay Mills
Lindsay Mills is an American acrobat, dancer, and blogger best known as the longtime partner of NSA whistleblower Edward Snowden.
-
C.
Lauren Nourse
Lauren Nourse is an Australian former netball player best known for her career with the Queensland Firebirds in the ANZ Championship.
-
D.
Megan Holley
Megan Holley is an American screenwriter best known for writing the indie dramedy film "Sunshine Cleaning."
-
E.
Kellie Leyland
Kellie Leyland is known as the daughter of longtime Major League Baseball manager Jim Leyland.
- 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: Kellie Miller Triple: [Tanco v. Haslam, plaintiff, Kellie Miller]
Generated description
Kellie Miller is one of the plaintiffs who challenged Tennessee’s ban on recognizing same-sex marriages in the federal court case Tanco v. Haslam.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kellie Miller Target entity description: Kellie Miller is one of the plaintiffs who challenged Tennessee’s ban on recognizing same-sex marriages in the federal court case Tanco v. Haslam.
-
A.
McKaley Miller
McKaley Miller is an American actress best known for her role as Rose Hattenbarger on the television series "Hart of Dixie."
-
B.
Lindsay Mills
Lindsay Mills is an American acrobat, dancer, and blogger best known as the longtime partner of NSA whistleblower Edward Snowden.
-
C.
Lauren Nourse
Lauren Nourse is an Australian former netball player best known for her career with the Queensland Firebirds in the ANZ Championship.
-
D.
Megan Holley
Megan Holley is an American screenwriter best known for writing the indie dramedy film "Sunshine Cleaning."
-
E.
Kellie Leyland
Kellie Leyland is known as the daughter of longtime Major League Baseball manager Jim Leyland.
- 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_69a498571d248190a0ac9eb02d97097f |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c268745481908be649526c18e558 |
completed | March 1, 2026, 10:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af6523d8f4819082396925561acdc4 |
completed | March 10, 2026, 12:26 a.m. |
| NEDg | Description generation | batch_69af67ab5eb88190805a6ce91a798a9f |
completed | March 10, 2026, 12:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69af686f67fc8190baaf4cabebfcb691 |
completed | March 10, 2026, 12:40 a.m. |
Created at: March 1, 2026, 7:56 p.m.