Triple
T20309431
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Unsolved Crime and Open Case Squad |
E510195
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Ted Case
Ted Case is a member of the Unsolved Crime and Open Case Squad, a team dedicated to investigating long-standing unresolved criminal cases.
|
E1424187
|
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: Ted Case | Statement: [Unsolved Crime and Open Case Squad, hasMember, Ted Case]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ted Case Context triple: [Unsolved Crime and Open Case Squad, hasMember, Ted Case]
-
A.
Ted Case
Ted Case is a fictional detective who serves as one of the central investigators in the British television crime drama series "New Tricks."
-
B.
John Case
John Case is a relatively common personal name that may refer to multiple individuals across different fields, such as literature, academia, or public life.
-
C.
Dave Case
Dave Case is a musician best known as a member of the rock band Helmet.
-
D.
John Cagan
John Cagan is the namesake of Cagan Stadium, likely a significant benefactor or figure associated with the institution that owns the venue.
-
E.
James Raiz
James Raiz is a Canadian comic book artist best known for his work on Transformers comics and other titles for publishers like Dreamwave Productions and Marvel.
- 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: Ted Case Triple: [Unsolved Crime and Open Case Squad, hasMember, Ted Case]
Generated description
Ted Case is a member of the Unsolved Crime and Open Case Squad, a team dedicated to investigating long-standing unresolved criminal cases.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ted Case Target entity description: Ted Case is a member of the Unsolved Crime and Open Case Squad, a team dedicated to investigating long-standing unresolved criminal cases.
-
A.
Ted Case
Ted Case is a fictional detective who serves as one of the central investigators in the British television crime drama series "New Tricks."
-
B.
John Case
John Case is a relatively common personal name that may refer to multiple individuals across different fields, such as literature, academia, or public life.
-
C.
Dave Case
Dave Case is a musician best known as a member of the rock band Helmet.
-
D.
John Cagan
John Cagan is the namesake of Cagan Stadium, likely a significant benefactor or figure associated with the institution that owns the venue.
-
E.
James Raiz
James Raiz is a Canadian comic book artist best known for his work on Transformers comics and other titles for publishers like Dreamwave Productions and Marvel.
- 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_69e0b4c7491c8190961113c4283b10b0 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6774286a88190800d6b062f3d7a9f |
completed | April 20, 2026, 6:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08612051088190b68a6107eb941655 |
completed | May 16, 2026, 12:20 p.m. |
| NEDg | Description generation | batch_6a086255182881908eeaa49d34bf3ba5 |
completed | May 16, 2026, 12:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08635869148190992d75a8806f767c |
completed | May 16, 2026, 12:30 p.m. |
Created at: April 16, 2026, 11:18 a.m.