Triple
T22630307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cottrell |
E558529
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Ann Cottrell Free
Ann Cottrell Free was an American journalist and author known for her pioneering work in animal welfare reporting and advocacy.
|
E1545512
|
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: Ann Cottrell Free | Statement: [Cottrell, hasNotableBearer, Ann Cottrell Free]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ann Cottrell Free Context triple: [Cottrell, hasNotableBearer, Ann Cottrell Free]
-
A.
Maureen Freely
Maureen Freely is an American-born British writer, translator, and academic best known for translating several works by Turkish Nobel laureate Orhan Pamuk into English.
-
B.
Elizabeth Cuthrell
Elizabeth Cuthrell is an American film producer and screenwriter best known for co-writing and producing the acclaimed independent drama "Jesus' Son."
-
C.
Elizabeth Marie Cotter
Elizabeth Marie Cotter was the wife of renowned Australian war cinematographer Damien Parer.
-
D.
Helen Freeman
Helen Freeman is a character in the 1986 science-fiction adventure film "Flight of the Navigator."
-
E.
Carol Wetherly
Carol Wetherly is the protagonist of the 1983 post-apocalyptic drama film "Testament," a suburban mother struggling to protect her family after a nuclear attack.
- 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: Ann Cottrell Free Triple: [Cottrell, hasNotableBearer, Ann Cottrell Free]
Generated description
Ann Cottrell Free was an American journalist and author known for her pioneering work in animal welfare reporting and advocacy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ann Cottrell Free Target entity description: Ann Cottrell Free was an American journalist and author known for her pioneering work in animal welfare reporting and advocacy.
-
A.
Maureen Freely
Maureen Freely is an American-born British writer, translator, and academic best known for translating several works by Turkish Nobel laureate Orhan Pamuk into English.
-
B.
Elizabeth Cuthrell
Elizabeth Cuthrell is an American film producer and screenwriter best known for co-writing and producing the acclaimed independent drama "Jesus' Son."
-
C.
Elizabeth Marie Cotter
Elizabeth Marie Cotter was the wife of renowned Australian war cinematographer Damien Parer.
-
D.
Helen Freeman
Helen Freeman is a character in the 1986 science-fiction adventure film "Flight of the Navigator."
-
E.
Carol Wetherly
Carol Wetherly is the protagonist of the 1983 post-apocalyptic drama film "Testament," a suburban mother struggling to protect her family after a nuclear attack.
- 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_69e245467d9881908d6985bd0db7a1f1 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f17008e7648190b243c18067b4efb9 |
completed | April 29, 2026, 2:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b4e0b2dd081909b063c50b18579c4 |
completed | May 18, 2026, 5:36 p.m. |
| NEDg | Description generation | batch_6a0b4ed997448190a6fe89160ccc223b |
completed | May 18, 2026, 5:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b4f8600448190a726d0fe91e17cff |
completed | May 18, 2026, 5:42 p.m. |
Created at: April 17, 2026, 3:02 p.m.