Triple
T11760189
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mac and Me |
E279633
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Lauren Stanley
Lauren Stanley is an American former child actress best known for her role in the 1988 science fiction film "Mac and Me."
|
E961304
|
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 Stanley | Statement: [Mac and Me, starring, Lauren Stanley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lauren Stanley Context triple: [Mac and Me, starring, Lauren Stanley]
-
A.
Lauren Lyle
Lauren Lyle is a Scottish actress best known for her role as Marsali MacKimmie Fraser in the television series "Outlander."
-
B.
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.
-
C.
Lauren Nourse
Lauren Nourse is an Australian former netball player best known for her career with the Queensland Firebirds in the ANZ Championship.
-
D.
Lauren Lloyd
Lauren Lloyd is a film producer best known for her work on the 1990 coming-of-age drama "Mermaids."
-
E.
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."
- 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 Stanley Triple: [Mac and Me, starring, Lauren Stanley]
Generated description
Lauren Stanley is an American former child actress best known for her role in the 1988 science fiction film "Mac and Me."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lauren Stanley Target entity description: Lauren Stanley is an American former child actress best known for her role in the 1988 science fiction film "Mac and Me."
-
A.
Lauren Lyle
Lauren Lyle is a Scottish actress best known for her role as Marsali MacKimmie Fraser in the television series "Outlander."
-
B.
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.
-
C.
Lauren Nourse
Lauren Nourse is an Australian former netball player best known for her career with the Queensland Firebirds in the ANZ Championship.
-
D.
Lauren Lloyd
Lauren Lloyd is a film producer best known for her work on the 1990 coming-of-age drama "Mermaids."
-
E.
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."
- 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_69d6ab01038c819080714901502c84fc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a52386708190b744746a2db37495 |
completed | April 10, 2026, 7:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f49ca3699081909ecc51c9f255c2c8 |
completed | May 1, 2026, 12:29 p.m. |
| NEDg | Description generation | batch_69f53d8ec5448190b303624887f7fa05 |
completed | May 1, 2026, 11:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f564b826ec819098906cf735e45093 |
completed | May 2, 2026, 2:43 a.m. |
Created at: April 8, 2026, 9:41 p.m.