Triple
T19127964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heathers |
E468235
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Sherrie Wills
Sherrie Wills is an actress known for appearing in the dark teen comedy film "Heathers."
|
E1450768
|
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: Sherrie Wills | Statement: [Heathers, castMember, Sherrie Wills]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sherrie Wills Context triple: [Heathers, castMember, Sherrie Wills]
-
A.
Diane Sherry
Diane Sherry is an actress best known for playing Lana Lang in the 1978 superhero film "Superman."
-
B.
Lynn Baggett
Lynn Baggett was an American film actress of the 1940s and early 1950s, known for supporting roles in crime dramas and film noirs.
-
C.
Dianne Foster
Dianne Foster was a Canadian-born film and television actress active in the 1950s and 1960s, known for her dramatic roles in Hollywood productions.
-
D.
Sherry Nelson
Sherry Nelson is known as the former spouse of Academy Award–winning American actor Rod Steiger.
-
E.
Sherry Dyson
Sherry Dyson is an American mathematics educator best known as the former wife of entrepreneur and motivational speaker Chris Gardner, whose life inspired the film "The Pursuit of Happyness."
- 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: Sherrie Wills Triple: [Heathers, castMember, Sherrie Wills]
Generated description
Sherrie Wills is an actress known for appearing in the dark teen comedy film "Heathers."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sherrie Wills Target entity description: Sherrie Wills is an actress known for appearing in the dark teen comedy film "Heathers."
-
A.
Diane Sherry
Diane Sherry is an actress best known for playing Lana Lang in the 1978 superhero film "Superman."
-
B.
Lynn Baggett
Lynn Baggett was an American film actress of the 1940s and early 1950s, known for supporting roles in crime dramas and film noirs.
-
C.
Dianne Foster
Dianne Foster was a Canadian-born film and television actress active in the 1950s and 1960s, known for her dramatic roles in Hollywood productions.
-
D.
Sherry Nelson
Sherry Nelson is known as the former spouse of Academy Award–winning American actor Rod Steiger.
-
E.
Sherry Dyson
Sherry Dyson is an American mathematics educator best known as the former wife of entrepreneur and motivational speaker Chris Gardner, whose life inspired the film "The Pursuit of Happyness."
- 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_69d8dd0796a48190b34ce4cd9d3f3be5 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e3ceb5808190b3b53d9e8df3605a |
completed | April 20, 2026, 8:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08f89f26f0819083c367fd8c24428c |
completed | May 16, 2026, 11:07 p.m. |
| NEDg | Description generation | batch_6a08f9683d6881909ce4e3e7e93b6e94 |
completed | May 16, 2026, 11:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08f9cd9ce0819085c29707c274547c |
completed | May 16, 2026, 11:12 p.m. |
Created at: April 10, 2026, 12:05 p.m.