Triple
T1583229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liam Neeson |
E34013
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Kinsey
Kinsey is a 2004 biographical drama film about pioneering sex researcher Alfred Kinsey, starring Liam Neeson in the title role.
|
E178795
|
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: Kinsey | Statement: [Liam Neeson, notableWork, Kinsey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kinsey Context triple: [Liam Neeson, notableWork, Kinsey]
-
A.
Kean
Kean is a stage musical about the life of 19th-century English actor Edmund Kean, known for its dramatic exploration of theatrical fame and personal turmoil.
-
B.
Keyes
Keyes is a small unincorporated community located in Stanislaus County in California’s Central Valley.
-
C.
Damita Jo
Damita Jo is Janet Jackson’s 2004 R&B and pop studio album known for its sensual themes and fusion of dance, soul, and hip-hop influences.
-
D.
Leslie
Leslie is the given name of Leslie R. Groves Jr., the U.S. Army Corps of Engineers officer who directed the Manhattan Project during World War II.
-
E.
Leslie
Leslie is a Toronto subway station on Line 4 Sheppard in the city's transit system.
- 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: Kinsey Triple: [Liam Neeson, notableWork, Kinsey]
Generated description
Kinsey is a 2004 biographical drama film about pioneering sex researcher Alfred Kinsey, starring Liam Neeson in the title role.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kinsey Target entity description: Kinsey is a 2004 biographical drama film about pioneering sex researcher Alfred Kinsey, starring Liam Neeson in the title role.
-
A.
Kean
Kean is a stage musical about the life of 19th-century English actor Edmund Kean, known for its dramatic exploration of theatrical fame and personal turmoil.
-
B.
Keyes
Keyes is a small unincorporated community located in Stanislaus County in California’s Central Valley.
-
C.
Damita Jo
Damita Jo is Janet Jackson’s 2004 R&B and pop studio album known for its sensual themes and fusion of dance, soul, and hip-hop influences.
-
D.
Leslie
Leslie is the given name of Leslie R. Groves Jr., the U.S. Army Corps of Engineers officer who directed the Manhattan Project during World War II.
-
E.
Leslie
Leslie is a Toronto subway station on Line 4 Sheppard in the city's transit system.
- 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_69a885fceb2c8190b47e0f7c0aefbff0 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a908f0e72c8190bb7a2a0c77379060 |
completed | March 5, 2026, 4:39 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad4035dd7c8190817301c0a2b0b938 |
completed | March 8, 2026, 9:24 a.m. |
| NEDg | Description generation | batch_69ad411829fc81909f9dc88b3d55d431 |
completed | March 8, 2026, 9:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad417c2ff48190af8e62a015b45c6b |
completed | March 8, 2026, 9:29 a.m. |
Created at: March 4, 2026, 7:27 p.m.