Triple
T15534168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maddie Townsend |
E370299
|
entity |
| Predicate | loveInterest |
P7325
|
FINISHED |
| Object |
Cal Maddox
Cal Maddox is a charming, supportive baseball coach and key romantic lead in the Sweet Magnolias series.
|
E1162395
|
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: Cal Maddox | Statement: [Maddie Townsend, loveInterest, Cal Maddox]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cal Maddox Context triple: [Maddie Townsend, loveInterest, Cal Maddox]
-
A.
Slimm Calhoun
Slimm Calhoun is an American rapper from Atlanta best known for his work with the Dungeon Family collective and his early-2000s solo material.
-
B.
Walker Smith Jr.
Walker Smith Jr., better known as Sugar Ray Robinson, was an American professional boxer widely regarded as one of the greatest fighters in the history of the sport.
-
C.
Thomas J. Weatherford
Thomas J. Weatherford was a prominent 19th-century Texas lawyer and political figure for whom the city of Weatherford, Texas, is named.
-
D.
Chick Hicks
Chick Hicks is the antagonistic race car from Pixar's "Cars" known for his aggressive driving and willingness to cheat to win.
-
E.
William Nelson
William Nelson was a British nobleman best known as the elder brother and heir of Admiral Horatio Nelson, who was granted the title Duke of Bronté in Sicily.
- 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: Cal Maddox Triple: [Maddie Townsend, loveInterest, Cal Maddox]
Generated description
Cal Maddox is a charming, supportive baseball coach and key romantic lead in the Sweet Magnolias series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cal Maddox Target entity description: Cal Maddox is a charming, supportive baseball coach and key romantic lead in the Sweet Magnolias series.
-
A.
Slimm Calhoun
Slimm Calhoun is an American rapper from Atlanta best known for his work with the Dungeon Family collective and his early-2000s solo material.
-
B.
Walker Smith Jr.
Walker Smith Jr., better known as Sugar Ray Robinson, was an American professional boxer widely regarded as one of the greatest fighters in the history of the sport.
-
C.
Thomas J. Weatherford
Thomas J. Weatherford was a prominent 19th-century Texas lawyer and political figure for whom the city of Weatherford, Texas, is named.
-
D.
Chick Hicks
Chick Hicks is the antagonistic race car from Pixar's "Cars" known for his aggressive driving and willingness to cheat to win.
-
E.
William Nelson
William Nelson was a British nobleman best known as the elder brother and heir of Admiral Horatio Nelson, who was granted the title Duke of Bronté in Sicily.
- 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_69d85cc521a08190921fb50319dddc34 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e0442e327c8190b4b879c8a3cd38e3 |
completed | April 16, 2026, 2:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff3d605b908190a18c63142c8bb854 |
completed | May 9, 2026, 1:57 p.m. |
| NEDg | Description generation | batch_69ff3f59213c8190a9c98350225b5151 |
completed | May 9, 2026, 2:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff3ff96a6c8190a4c9f20dabc86cef |
completed | May 9, 2026, 2:08 p.m. |
Created at: April 10, 2026, 4:06 a.m.