Triple
T19722050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ivan Goff |
E473632
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Tamara Goff
Tamara Goff is known primarily as the spouse of Australian-born screenwriter Ivan Goff, co-creator of the television series "Charlie's Angels."
|
E1396588
|
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: Tamara Goff | Statement: [Ivan Goff, spouse, Tamara Goff]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tamara Goff Context triple: [Ivan Goff, spouse, Tamara Goff]
-
A.
Lynn Collins
Lynn Collins is an American actress known for her roles in films such as X-Men Origins: Wolverine and John Carter, as well as various television series.
-
B.
Rebecca Tilly
Rebecca Tilly is a member of the Tilly family and the sister of actress and author Meg Tilly.
-
C.
Nicole Kassell
Nicole Kassell is an American film and television director and producer known for her work on acclaimed series such as Watchmen and The Leftovers.
-
D.
Melissa Cobb
Melissa Cobb is an American film producer best known for her work on major animated features, including the Kung Fu Panda franchise.
-
E.
Alice Patten
Alice Patten is a British actress best known internationally for her role as an English documentary filmmaker in the acclaimed Indian film "Rang De Basanti."
- 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: Tamara Goff Triple: [Ivan Goff, spouse, Tamara Goff]
Generated description
Tamara Goff is known primarily as the spouse of Australian-born screenwriter Ivan Goff, co-creator of the television series "Charlie's Angels."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tamara Goff Target entity description: Tamara Goff is known primarily as the spouse of Australian-born screenwriter Ivan Goff, co-creator of the television series "Charlie's Angels."
-
A.
Lynn Collins
Lynn Collins is an American actress known for her roles in films such as X-Men Origins: Wolverine and John Carter, as well as various television series.
-
B.
Rebecca Tilly
Rebecca Tilly is a member of the Tilly family and the sister of actress and author Meg Tilly.
-
C.
Nicole Kassell
Nicole Kassell is an American film and television director and producer known for her work on acclaimed series such as Watchmen and The Leftovers.
-
D.
Melissa Cobb
Melissa Cobb is an American film producer best known for her work on major animated features, including the Kung Fu Panda franchise.
-
E.
Alice Patten
Alice Patten is a British actress best known internationally for her role as an English documentary filmmaker in the acclaimed Indian film "Rang De Basanti."
- 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_69d8e516dd048190a0b6c93ea3e71f58 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e649f587d88190bf519fec7ce634d3 |
completed | April 20, 2026, 3:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07ccbc3974819098d8912d8dc1ce9d |
completed | May 16, 2026, 1:47 a.m. |
| NEDg | Description generation | batch_6a07ce38b6508190aa43a893b01c4d80 |
completed | May 16, 2026, 1:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07ceea12e881908a88a34c40047ecc |
completed | May 16, 2026, 1:56 a.m. |
Created at: April 10, 2026, 1:46 p.m.