Triple
T6478621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Above the Rim |
E146132
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object |
Shep
Shep is a central, brooding former basketball star in the 1994 sports drama film "Above the Rim," known for his troubled past and mentorship of the young protagonist.
|
E597021
|
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: Shep | Statement: [Above the Rim, hasCharacter, Shep]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shep Context triple: [Above the Rim, hasCharacter, Shep]
-
A.
Shep
Shep is the station code used to identify Sheppard–Yonge station in the Toronto subway system.
-
B.
Odie
Odie is the lovable, dim-witted yellow dog from the Garfield franchise, known for his boundless energy, slobbery affection, and frequent role as Garfield’s hapless sidekick.
-
C.
Norbit
Norbit is a 2007 American comedy film starring Eddie Murphy in multiple roles, known for its broad humor, heavy use of prosthetic makeup, and mixed critical reception.
-
D.
Merle
Merle is a given name most famously associated with American country music legend Merle Haggard.
-
E.
Barkley
Barkley is a surname most notably associated with Alben W. Barkley, the 35th vice president of the United States under President Harry S. Truman.
- 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: Shep Triple: [Above the Rim, hasCharacter, Shep]
Generated description
Shep is a central, brooding former basketball star in the 1994 sports drama film "Above the Rim," known for his troubled past and mentorship of the young protagonist.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shep Target entity description: Shep is a central, brooding former basketball star in the 1994 sports drama film "Above the Rim," known for his troubled past and mentorship of the young protagonist.
-
A.
Shep
Shep is the station code used to identify Sheppard–Yonge station in the Toronto subway system.
-
B.
Odie
Odie is the lovable, dim-witted yellow dog from the Garfield franchise, known for his boundless energy, slobbery affection, and frequent role as Garfield’s hapless sidekick.
-
C.
Norbit
Norbit is a 2007 American comedy film starring Eddie Murphy in multiple roles, known for its broad humor, heavy use of prosthetic makeup, and mixed critical reception.
-
D.
Merle
Merle is a given name most famously associated with American country music legend Merle Haggard.
-
E.
Barkley
Barkley is a surname most notably associated with Alben W. Barkley, the 35th vice president of the United States under President Harry S. Truman.
- 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_69c008fec7408190af7b146dc63d9750 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c06a4d35f08190a94143367b1d45c5 |
completed | March 22, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c653aa82808190a1e9d420e81d7839 |
completed | March 27, 2026, 9:53 a.m. |
| NEDg | Description generation | batch_69c6542017f4819085efe545dd25060f |
completed | March 27, 2026, 9:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c656d3533c819091a4255e354eccab |
completed | March 27, 2026, 10:07 a.m. |
Created at: March 22, 2026, 4:51 p.m.