Triple
T3250198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tea Cake |
E68158
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Vergible
Vergible is the birth name of Tea Cake, a central character in Zora Neale Hurston’s novel "Their Eyes Were Watching God."
|
E340900
|
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: Vergible | Statement: [Tea Cake, givenName, Vergible]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vergible Context triple: [Tea Cake, givenName, Vergible]
-
A.
Cassibile
Cassibile is a village in southeastern Sicily, Italy, historically notable as the site where the 1943 armistice between Italy and the Allies was signed during World War II.
-
B.
Faventia
Faventia is the ancient Roman name for the Italian city of Faenza, historically known as an important settlement in northern Italy.
-
C.
Vignely
Vignely is a small French commune located in the Seine-et-Marne department in the Île-de-France region in north-central France.
-
D.
Vabis
Vabis was a Swedish automotive and engineering company that later merged to form Scania-Vabis, a predecessor of the modern Scania AB.
-
E.
The Vern
The Vern is the informal name for George Washington University's Mount Vernon Campus in Washington, D.C.
- 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: Vergible Triple: [Tea Cake, givenName, Vergible]
Generated description
Vergible is the birth name of Tea Cake, a central character in Zora Neale Hurston’s novel "Their Eyes Were Watching God."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vergible Target entity description: Vergible is the birth name of Tea Cake, a central character in Zora Neale Hurston’s novel "Their Eyes Were Watching God."
-
A.
Cassibile
Cassibile is a village in southeastern Sicily, Italy, historically notable as the site where the 1943 armistice between Italy and the Allies was signed during World War II.
-
B.
Faventia
Faventia is the ancient Roman name for the Italian city of Faenza, historically known as an important settlement in northern Italy.
-
C.
Vignely
Vignely is a small French commune located in the Seine-et-Marne department in the Île-de-France region in north-central France.
-
D.
Vabis
Vabis was a Swedish automotive and engineering company that later merged to form Scania-Vabis, a predecessor of the modern Scania AB.
-
E.
The Vern
The Vern is the informal name for George Washington University's Mount Vernon Campus in Washington, D.C.
- 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_69ad858e4c708190aa31d486cfee8a6a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaf40f7908190a450c3136fccb020 |
completed | March 8, 2026, 5:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2776934108190ac405ba5ebd47084 |
completed | March 12, 2026, 8:20 a.m. |
| NEDg | Description generation | batch_69b27c2c16188190af03674ead3944de |
completed | March 12, 2026, 8:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b27ca63b1c8190ac6f67aef6d2c7e1 |
completed | March 12, 2026, 8:43 a.m. |
Created at: March 8, 2026, 3:09 p.m.