Triple
T2451274
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lemon Breeland |
E53708
|
entity |
| Predicate | associatedWithLocation |
P2830
|
FINISHED |
| Object |
Rammer Jammer bar
Rammer Jammer bar is a fictional small-town Alabama watering hole and social hub featured in the TV series "Hart of Dixie."
|
E267604
|
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: Rammer Jammer bar | Statement: [Lemon Breeland, associatedWithLocation, Rammer Jammer bar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rammer Jammer bar Context triple: [Lemon Breeland, associatedWithLocation, Rammer Jammer bar]
-
A.
Joints & Jam
"Joints & Jam" is a song by the Black Eyed Peas from their debut studio album "Behind the Front."
-
B.
JAM
JAM is the three-letter ISO 3166-1 alpha-3 country code assigned to Jamaica.
-
C.
La Rampa
La Rampa is a famous, bustling avenue in Havana’s Vedado district known for its mid-20th-century architecture, nightlife, and cultural landmarks.
-
D.
Headbangers Ball
Headbangers Ball was MTV’s flagship heavy metal and hard rock music video show, known for spotlighting metal bands and subcultures from the mid-1980s through the 1990s.
-
E.
Krammer
Krammer is a body of water in the Rhine–Meuse–Scheldt delta in the southwestern Netherlands, known as a former estuarine channel now separated from the sea by dams and used for recreation and water management.
- 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: Rammer Jammer bar Triple: [Lemon Breeland, associatedWithLocation, Rammer Jammer bar]
Generated description
Rammer Jammer bar is a fictional small-town Alabama watering hole and social hub featured in the TV series "Hart of Dixie."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rammer Jammer bar Target entity description: Rammer Jammer bar is a fictional small-town Alabama watering hole and social hub featured in the TV series "Hart of Dixie."
-
A.
Joints & Jam
"Joints & Jam" is a song by the Black Eyed Peas from their debut studio album "Behind the Front."
-
B.
JAM
JAM is the three-letter ISO 3166-1 alpha-3 country code assigned to Jamaica.
-
C.
La Rampa
La Rampa is a famous, bustling avenue in Havana’s Vedado district known for its mid-20th-century architecture, nightlife, and cultural landmarks.
-
D.
Headbangers Ball
Headbangers Ball was MTV’s flagship heavy metal and hard rock music video show, known for spotlighting metal bands and subcultures from the mid-1980s through the 1990s.
-
E.
Krammer
Krammer is a body of water in the Rhine–Meuse–Scheldt delta in the southwestern Netherlands, known as a former estuarine channel now separated from the sea by dams and used for recreation and water management.
- 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_69ab495d227c8190b26ae6548eeb1019 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd0f402b48190b871b2475983af7e |
completed | March 7, 2026, 7:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aef0c2a7b08190beb27f6a83208e5c |
completed | March 9, 2026, 4:09 p.m. |
| NEDg | Description generation | batch_69aef5de0e4c8190af460b7e2fb2a5eb |
completed | March 9, 2026, 4:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69aef68a6a18819097876fea0120103b |
completed | March 9, 2026, 4:34 p.m. |
Created at: March 6, 2026, 9:43 p.m.