Triple
T13384615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hap and Leonard |
E319406
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Tiffany Mack
Tiffany Mack is an American actress best known for her role in the television series "Hap and Leonard."
|
E1036415
|
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: Tiffany Mack | Statement: [Hap and Leonard, castMember, Tiffany Mack]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tiffany Mack Context triple: [Hap and Leonard, castMember, Tiffany Mack]
-
A.
Tasha Mack
Tasha Mack is a sharp-tongued, fiercely protective sports manager and mother on the television series "The Game," known for her humor, ambition, and complex family relationships.
-
B.
Tiffany Thompson
Tiffany Thompson is the daughter of John Thompson.
-
C.
Tiffany Hayes
Tiffany Hayes is an American professional basketball player and WNBA All-Star known for her scoring and defensive prowess, primarily with the Atlanta Dream.
-
D.
Tiffany Mitchell
Tiffany Mitchell is a fictional character from the British soap opera "EastEnders," known for her dramatic storylines and tragic death in the late 1990s.
-
E.
Tiffany Maxwell
Tiffany Maxwell is a troubled yet resilient young widow who forms an unconventional bond with Pat Solitano in the romantic dramedy film "Silver Linings Playbook."
- 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: Tiffany Mack Triple: [Hap and Leonard, castMember, Tiffany Mack]
Generated description
Tiffany Mack is an American actress best known for her role in the television series "Hap and Leonard."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tiffany Mack Target entity description: Tiffany Mack is an American actress best known for her role in the television series "Hap and Leonard."
-
A.
Tasha Mack
Tasha Mack is a sharp-tongued, fiercely protective sports manager and mother on the television series "The Game," known for her humor, ambition, and complex family relationships.
-
B.
Tiffany Thompson
Tiffany Thompson is the daughter of John Thompson.
-
C.
Tiffany Hayes
Tiffany Hayes is an American professional basketball player and WNBA All-Star known for her scoring and defensive prowess, primarily with the Atlanta Dream.
-
D.
Tiffany Mitchell
Tiffany Mitchell is a fictional character from the British soap opera "EastEnders," known for her dramatic storylines and tragic death in the late 1990s.
-
E.
Tiffany Maxwell
Tiffany Maxwell is a troubled yet resilient young widow who forms an unconventional bond with Pat Solitano in the romantic dramedy film "Silver Linings Playbook."
- 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_69d806b886bc8190b676e7768b8e01c5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dadce80158819082156eaeaeda3bd8 |
completed | April 11, 2026, 11:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7268cf04c8190a35fd48ce81c149e |
completed | May 3, 2026, 10:42 a.m. |
| NEDg | Description generation | batch_69f7276776ec81908769cd9f1cc4707e |
completed | May 3, 2026, 10:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7280cbb6c819090bee7862e00b900 |
completed | May 3, 2026, 10:48 a.m. |
Created at: April 9, 2026, 9:33 p.m.