Triple
T16056294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wishmaster |
E389488
|
entity |
| Predicate | leadActor |
P1507
|
FINISHED |
| Object |
Tammy Lauren
Tammy Lauren is an American actress best known for her starring role in the 1997 horror film "Wishmaster" and for numerous appearances in television series.
|
E1193720
|
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: Tammy Lauren | Statement: [Wishmaster, leadActor, Tammy Lauren]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tammy Lauren Context triple: [Wishmaster, leadActor, Tammy Lauren]
-
A.
Tammy Collins
Tammy Collins is the wife of Grammy-winning gospel musician and choir director Kirk Franklin, known for her supportive role in his personal life and ministry.
-
B.
Tammy Townsend
Tammy Townsend is an American actress and singer best known for her roles in television series such as "Family Matters" and "K.C. Undercover."
-
C.
Tammy Lucas
Tammy Lucas is an American R&B singer and songwriter known for her collaborations with prominent hip-hop artists and producers in the 1990s.
-
D.
Tammy Miller
Tammy Miller is known as the spouse of American actor Joel McKinnon Miller, recognized for his roles in television and film.
-
E.
Tammy Campbell
Tammy Campbell is the daughter of advertising executive Pete Campbell in the television series "Mad Men."
- 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: Tammy Lauren Triple: [Wishmaster, leadActor, Tammy Lauren]
Generated description
Tammy Lauren is an American actress best known for her starring role in the 1997 horror film "Wishmaster" and for numerous appearances in television series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tammy Lauren Target entity description: Tammy Lauren is an American actress best known for her starring role in the 1997 horror film "Wishmaster" and for numerous appearances in television series.
-
A.
Tammy Collins
Tammy Collins is the wife of Grammy-winning gospel musician and choir director Kirk Franklin, known for her supportive role in his personal life and ministry.
-
B.
Tammy Townsend
Tammy Townsend is an American actress and singer best known for her roles in television series such as "Family Matters" and "K.C. Undercover."
-
C.
Tammy Lucas
Tammy Lucas is an American R&B singer and songwriter known for her collaborations with prominent hip-hop artists and producers in the 1990s.
-
D.
Tammy Miller
Tammy Miller is known as the spouse of American actor Joel McKinnon Miller, recognized for his roles in television and film.
-
E.
Tammy Campbell
Tammy Campbell is the daughter of advertising executive Pete Campbell in the television series "Mad Men."
- 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_69d86dae698881908327ef2d67706cb9 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1837579488190964ca004c2eb01c4 |
completed | April 17, 2026, 12:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffeb8b1b2c8190949943b20f2f8574 |
completed | May 10, 2026, 2:20 a.m. |
| NEDg | Description generation | batch_69ffec06b344819093f164f15f104717 |
completed | May 10, 2026, 2:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffec9fc93881909b80bbfe324ebc2c |
completed | May 10, 2026, 2:25 a.m. |
Created at: April 10, 2026, 4:56 a.m.