Triple
T12333465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The In Crowd |
E294019
|
entity |
| Predicate | antagonistPortrayedBy |
P1507
|
FINISHED |
| Object |
Susan Ward
Susan Ward is an American actress and former model best known for her roles in late-1990s and early-2000s films and television series.
|
E1071806
|
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: Susan Ward | Statement: [The In Crowd, antagonistPortrayedBy, Susan Ward]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Susan Ward Context triple: [The In Crowd, antagonistPortrayedBy, Susan Ward]
-
A.
Susan Sullivan
Susan Sullivan is an American actress best known for her television roles in series such as "Falcon Crest," "Dharma & Greg," and "Castle."
-
B.
Susan Wells
Susan Wells is a fictional character in the film "Elf," known as the long-lost biological mother of Buddy the Elf.
-
C.
Lisa Baird
Lisa Baird is an American sports executive who served as commissioner of the National Women's Soccer League (NWSL).
-
D.
Susan Wakley
Susan Wakley is best known as the wife of Pro Football Hall of Famer and longtime sportscaster Merlin Olsen.
-
E.
Ann Scott
Ann Scott is an American philanthropist and former First Lady of Florida, known for her advocacy in education, the arts, and children's causes.
- 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: Susan Ward Triple: [The In Crowd, antagonistPortrayedBy, Susan Ward]
Generated description
Susan Ward is an American actress and former model best known for her roles in late-1990s and early-2000s films and television series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Susan Ward Target entity description: Susan Ward is an American actress and former model best known for her roles in late-1990s and early-2000s films and television series.
-
A.
Susan Sullivan
Susan Sullivan is an American actress best known for her television roles in series such as "Falcon Crest," "Dharma & Greg," and "Castle."
-
B.
Susan Wells
Susan Wells is a fictional character in the film "Elf," known as the long-lost biological mother of Buddy the Elf.
-
C.
Lisa Baird
Lisa Baird is an American sports executive who served as commissioner of the National Women's Soccer League (NWSL).
-
D.
Susan Wakley
Susan Wakley is best known as the wife of Pro Football Hall of Famer and longtime sportscaster Merlin Olsen.
-
E.
Ann Scott
Ann Scott is an American philanthropist and former First Lady of Florida, known for her advocacy in education, the arts, and children's causes.
- 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_69d6ab6ae0dc8190b1522a9c1c55c114 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f64ad20819080d99e57833b4b51 |
completed | April 10, 2026, 6:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fba1ad4cc48190a680652efa3ab463 |
completed | May 6, 2026, 8:16 p.m. |
| NEDg | Description generation | batch_69fba5918348819084fa4235eec6eee0 |
completed | May 6, 2026, 8:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fba6b5e4f4819088e8a0629e17e4cc |
completed | May 6, 2026, 8:38 p.m. |
Created at: April 8, 2026, 9:53 p.m.