Triple
T14636788
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sweet Home men |
E343627
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Paul A
Paul A is a member of the Sweet Home men's group or team.
|
E1109959
|
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: Paul A | Statement: [Sweet Home men, hasMember, Paul A]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paul A Context triple: [Sweet Home men, hasMember, Paul A]
-
A.
Paul D
Paul D is a formerly enslaved man in Toni Morrison’s novel *Beloved* whose traumatic past and complex relationship with Sethe explore the enduring psychological scars of slavery.
-
B.
Paul V
Paul V was a 17th-century pope of the Catholic Church, best known for his role in the Counter-Reformation and for commissioning major works on St. Peter’s Basilica in Rome.
-
C.
Paul Aaron
Paul Aaron is an American film and television director, producer, and screenwriter known for his work on projects such as the crime drama "In Too Deep."
-
D.
Peter Pau
Peter Pau is an acclaimed Hong Kong cinematographer best known internationally for his Oscar-winning work on the film "Crouching Tiger, Hidden Dragon."
-
E.
Paul Richard
Paul Richard was a French lawyer, politician, and spiritual seeker known for his association with Sri Aurobindo and marriage to Mirra Alfassa, later revered as "The Mother."
- 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: Paul A Triple: [Sweet Home men, hasMember, Paul A]
Generated description
Paul A is a member of the Sweet Home men's group or team.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Paul A Target entity description: Paul A is a member of the Sweet Home men's group or team.
-
A.
Paul D
Paul D is a formerly enslaved man in Toni Morrison’s novel *Beloved* whose traumatic past and complex relationship with Sethe explore the enduring psychological scars of slavery.
-
B.
Paul V
Paul V was a 17th-century pope of the Catholic Church, best known for his role in the Counter-Reformation and for commissioning major works on St. Peter’s Basilica in Rome.
-
C.
Paul Aaron
Paul Aaron is an American film and television director, producer, and screenwriter known for his work on projects such as the crime drama "In Too Deep."
-
D.
Peter Pau
Peter Pau is an acclaimed Hong Kong cinematographer best known internationally for his Oscar-winning work on the film "Crouching Tiger, Hidden Dragon."
-
E.
Paul Richard
Paul Richard was a French lawyer, politician, and spiritual seeker known for his association with Sri Aurobindo and marriage to Mirra Alfassa, later revered as "The Mother."
- 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_69d822dffc3c8190aa173b90761bffda |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb4ab9578819085b4cf7244d30d87 |
completed | April 14, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fda934ec3c81909eb3c3a54260436b |
completed | May 8, 2026, 9:13 a.m. |
| NEDg | Description generation | batch_69fdb1ad32a4819088e5831f3d74ea4e |
completed | May 8, 2026, 9:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdb316479c81909343196bb89e5e57 |
completed | May 8, 2026, 9:55 a.m. |
Created at: April 10, 2026, 1:26 a.m.