Triple
T4938636
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caroline England |
E110873
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Truth Games
Truth Games is a psychological thriller novel by British author Caroline England that delves into secrets, lies, and the unraveling dynamics within close relationships.
|
E481752
|
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: Truth Games | Statement: [Caroline England, notableWork, Truth Games]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Truth Games Context triple: [Caroline England, notableWork, Truth Games]
-
A.
Cold Game
Cold Game is a track featured on the hip-hop album "Doggumentary" by Snoop Dogg.
-
B.
Caught in the Game
Caught in the Game is a 1983 hard rock album by American band Survivor, known for its melodic rock sound and powerful vocals.
-
C.
The Truth
The Truth is the famous nickname of former NBA star Paul Pierce, a Hall of Fame small forward best known for his long tenure and championship with the Boston Celtics.
-
D.
The Games We Play
The Games We Play is a song featured on the album "Daytona," known for its sharp lyricism and polished production.
-
E.
Where the Truth Lies
Where the Truth Lies is a mystery novel by Rupert Holmes that blends dark humor and suspense in a tale of show-business secrets and scandal.
- 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: Truth Games Triple: [Caroline England, notableWork, Truth Games]
Generated description
Truth Games is a psychological thriller novel by British author Caroline England that delves into secrets, lies, and the unraveling dynamics within close relationships.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Truth Games Target entity description: Truth Games is a psychological thriller novel by British author Caroline England that delves into secrets, lies, and the unraveling dynamics within close relationships.
-
A.
Cold Game
Cold Game is a track featured on the hip-hop album "Doggumentary" by Snoop Dogg.
-
B.
Caught in the Game
Caught in the Game is a 1983 hard rock album by American band Survivor, known for its melodic rock sound and powerful vocals.
-
C.
The Truth
The Truth is the famous nickname of former NBA star Paul Pierce, a Hall of Fame small forward best known for his long tenure and championship with the Boston Celtics.
-
D.
The Games We Play
The Games We Play is a song featured on the album "Daytona," known for its sharp lyricism and polished production.
-
E.
Where the Truth Lies
Where the Truth Lies is a mystery novel by Rupert Holmes that blends dark humor and suspense in a tale of show-business secrets and scandal.
- 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_69bd4415eee08190bdce70276e56a5b4 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd7088f6e48190bf09e58ab053a4d1 |
completed | March 20, 2026, 4:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be77bcb8d881908d393223bdea145a |
completed | March 21, 2026, 10:49 a.m. |
| NEDg | Description generation | batch_69be78747f3881908afe9cf276216bc5 |
completed | March 21, 2026, 10:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be78d03aec81909a2470306ba90cb0 |
completed | March 21, 2026, 10:54 a.m. |
Created at: March 20, 2026, 1:31 p.m.