Triple
T16441590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Models Inc. |
E399313
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object |
Teresa Hill
Teresa Hill is an American actress best known for her television and film roles in the 1990s.
|
E1304207
|
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: Teresa Hill | Statement: [Models Inc., hasCastMember, Teresa Hill]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Teresa Hill Context triple: [Models Inc., hasCastMember, Teresa Hill]
-
A.
Barbara Trentham
Barbara Trentham was an American model and actress who later became a painter, known in part for her marriage to British comedian John Cleese.
-
B.
Teresa Barrick
Teresa Barrick is an American fashion designer best known for her long-term marriage to Aerosmith frontman Steven Tyler.
-
C.
Elisabeth Scott
Elisabeth Scott was a pioneering British architect best known for designing the modernist Royal Shakespeare Theatre in Stratford-upon-Avon.
-
D.
Patricia Farrar
Patricia Farrar is the mother of American musician and producer Sam Farrar, known for his work with the band Maroon 5.
-
E.
Susan Tyrrell
Susan Tyrrell was an American character actress known for her intense, offbeat performances in film and television, including an Oscar-nominated role in the 1972 drama "Fat City."
- 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: Teresa Hill Triple: [Models Inc., hasCastMember, Teresa Hill]
Generated description
Teresa Hill is an American actress best known for her television and film roles in the 1990s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Teresa Hill Target entity description: Teresa Hill is an American actress best known for her television and film roles in the 1990s.
-
A.
Barbara Trentham
Barbara Trentham was an American model and actress who later became a painter, known in part for her marriage to British comedian John Cleese.
-
B.
Teresa Barrick
Teresa Barrick is an American fashion designer best known for her long-term marriage to Aerosmith frontman Steven Tyler.
-
C.
Elisabeth Scott
Elisabeth Scott was a pioneering British architect best known for designing the modernist Royal Shakespeare Theatre in Stratford-upon-Avon.
-
D.
Patricia Farrar
Patricia Farrar is the mother of American musician and producer Sam Farrar, known for his work with the band Maroon 5.
-
E.
Susan Tyrrell
Susan Tyrrell was an American character actress known for her intense, offbeat performances in film and television, including an Oscar-nominated role in the 1972 drama "Fat City."
- 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_69d87f2c6778819080fcfae53be8f12a |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32ba91dc48190bc35db60f63d36d3 |
completed | April 18, 2026, 6:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03564e0d9c8190948d72ec5bca046c |
completed | May 12, 2026, 4:33 p.m. |
| NEDg | Description generation | batch_6a03598fb63c81908e50b0ff63fe2e95 |
completed | May 12, 2026, 4:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0359e4cf988190a0f0c496d3a84c53 |
completed | May 12, 2026, 4:48 p.m. |
Created at: April 10, 2026, 5:10 a.m.