Triple
T7530281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Love Boat |
E178003
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object |
Lauren Tewes
Lauren Tewes is an American actress best known for playing cruise director Julie McCoy on the television series "The Love Boat."
|
E689825
|
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: Lauren Tewes | Statement: [The Love Boat, portrayedBy, Lauren Tewes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lauren Tewes Context triple: [The Love Boat, portrayedBy, Lauren Tewes]
-
A.
Lauren Chapin
Lauren Chapin is an American former child actress best known for playing youngest daughter Kathy Anderson on the classic television sitcom "Father Knows Best."
-
B.
Lauren Skaar
Lauren Skaar is known as the wife of French-American actor Michael Vartan.
-
C.
Lauren Dolgen
Lauren Dolgen is a television producer best known for developing and producing MTV’s teen pregnancy reality franchise, including "16 and Pregnant" and its spin-offs.
-
D.
Lauren Nourse
Lauren Nourse is an Australian former netball player best known for her career with the Queensland Firebirds in the ANZ Championship.
-
E.
Lauren Hartke
Lauren Hartke is the introspective performance artist protagonist of Don DeLillo’s novel "The Body Artist," known for her intense exploration of time, identity, and the body.
- 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: Lauren Tewes Triple: [The Love Boat, portrayedBy, Lauren Tewes]
Generated description
Lauren Tewes is an American actress best known for playing cruise director Julie McCoy on the television series "The Love Boat."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lauren Tewes Target entity description: Lauren Tewes is an American actress best known for playing cruise director Julie McCoy on the television series "The Love Boat."
-
A.
Lauren Chapin
Lauren Chapin is an American former child actress best known for playing youngest daughter Kathy Anderson on the classic television sitcom "Father Knows Best."
-
B.
Lauren Skaar
Lauren Skaar is known as the wife of French-American actor Michael Vartan.
-
C.
Lauren Dolgen
Lauren Dolgen is a television producer best known for developing and producing MTV’s teen pregnancy reality franchise, including "16 and Pregnant" and its spin-offs.
-
D.
Lauren Nourse
Lauren Nourse is an Australian former netball player best known for her career with the Queensland Firebirds in the ANZ Championship.
-
E.
Lauren Hartke
Lauren Hartke is the introspective performance artist protagonist of Don DeLillo’s novel "The Body Artist," known for her intense exploration of time, identity, and the body.
- 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_69c69f2acdbc8190b5a8320168c1d0ba |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f81fbd4c8190b8ffedf1dbbb43aa |
completed | March 27, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c911608d408190b149c7c56931a18d |
completed | March 29, 2026, 11:47 a.m. |
| NEDg | Description generation | batch_69c911f4a0b0819099a9dbdceeeddd78 |
completed | March 29, 2026, 11:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c912579c108190befbbfd5740bfd83 |
completed | March 29, 2026, 11:51 a.m. |
Created at: March 27, 2026, 3:47 p.m.