Triple
T6693658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dallas urban area |
E152689
|
entity |
| Predicate | hasSuburb |
P747
|
FINISHED |
| Object |
Aubrey
Aubrey is a small suburban town in the greater Dallas–Fort Worth metropolitan area in Texas.
|
E611722
|
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: Aubrey | Statement: [Dallas urban area, hasSuburb, Aubrey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aubrey Context triple: [Dallas urban area, hasSuburb, Aubrey]
-
A.
Aubrey
Aubrey is the first name of Canadian rapper, singer, and actor Drake (Aubrey Drake Graham).
-
B.
Skylar
Skylar is a compassionate and intelligent Harvard student who becomes Will Hunting’s love interest in the film "Good Will Hunting."
-
C.
Abbie
Abbie is a central character in the film "20th Century Women," portrayed as a punk-influenced, free-spirited young woman who helps shape the coming-of-age journey of the teenage protagonist.
-
D.
Ainsley
Ainsley is a secondary character in Margaret Atwood's novel "The Edible Woman," known for her conventional femininity and contrasting attitudes toward gender roles compared to the protagonist.
-
E.
Abby
Abby is a character portrayed by actress Yvonne De Carlo in the Western film "Shotgun."
- 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: Aubrey Triple: [Dallas urban area, hasSuburb, Aubrey]
Generated description
Aubrey is a small suburban town in the greater Dallas–Fort Worth metropolitan area in Texas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Aubrey Target entity description: Aubrey is a small suburban town in the greater Dallas–Fort Worth metropolitan area in Texas.
-
A.
Aubrey
Aubrey is the first name of Canadian rapper, singer, and actor Drake (Aubrey Drake Graham).
-
B.
Skylar
Skylar is a compassionate and intelligent Harvard student who becomes Will Hunting’s love interest in the film "Good Will Hunting."
-
C.
Abbie
Abbie is a central character in the film "20th Century Women," portrayed as a punk-influenced, free-spirited young woman who helps shape the coming-of-age journey of the teenage protagonist.
-
D.
Ainsley
Ainsley is a secondary character in Margaret Atwood's novel "The Edible Woman," known for her conventional femininity and contrasting attitudes toward gender roles compared to the protagonist.
-
E.
Abby
Abby is a character portrayed by actress Yvonne De Carlo in the Western film "Shotgun."
- 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_69c6880687b08190805278b504d1c92c |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6b1955e448190adbfed7dc28f8c52 |
completed | March 27, 2026, 4:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6f7b97210819086e88624c476fa24 |
completed | March 27, 2026, 9:33 p.m. |
| NEDg | Description generation | batch_69c6f8955748819092b0e51cff6cab69 |
completed | March 27, 2026, 9:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6f9441d74819098f0639a29fdeb5e |
completed | March 27, 2026, 9:40 p.m. |
Created at: March 27, 2026, 2:05 p.m.