Triple
T6875725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Moorcock |
E158665
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Linda Steele
Linda Steele is known as the wife of British speculative fiction author Michael Moorcock.
|
E638758
|
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: Linda Steele | Statement: [Michael Moorcock, spouse, Linda Steele]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Linda Steele Context triple: [Michael Moorcock, spouse, Linda Steele]
-
A.
Laura Roberts
Laura Roberts is known primarily as the wife of American television and film composer Earle Hagen.
-
B.
Linda Fennimore
Linda Fennimore is an artist best known for creating the cover art for Stephen King’s horror novel "Pet Sematary."
-
C.
Virginia Kelley
Virginia Kelley was the mother of former U.S. President Bill Clinton and a nurse anesthetist from Arkansas whose life and memoir gained public attention during and after her son's political rise.
-
D.
Rachel Roberts
Rachel Roberts was a Welsh actress known for her intense, emotionally powerful performances in British and international films during the mid-20th century.
-
E.
Marilyn Bartlett
Marilyn Bartlett is a supporting character in the teen comedy-drama film "Charlie Bartlett," serving as a member of the protagonist's family and contributing to the story's exploration of adolescence and mental health.
- 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: Linda Steele Triple: [Michael Moorcock, spouse, Linda Steele]
Generated description
Linda Steele is known as the wife of British speculative fiction author Michael Moorcock.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Linda Steele Target entity description: Linda Steele is known as the wife of British speculative fiction author Michael Moorcock.
-
A.
Laura Roberts
Laura Roberts is known primarily as the wife of American television and film composer Earle Hagen.
-
B.
Linda Fennimore
Linda Fennimore is an artist best known for creating the cover art for Stephen King’s horror novel "Pet Sematary."
-
C.
Virginia Kelley
Virginia Kelley was the mother of former U.S. President Bill Clinton and a nurse anesthetist from Arkansas whose life and memoir gained public attention during and after her son's political rise.
-
D.
Rachel Roberts
Rachel Roberts was a Welsh actress known for her intense, emotionally powerful performances in British and international films during the mid-20th century.
-
E.
Marilyn Bartlett
Marilyn Bartlett is a supporting character in the teen comedy-drama film "Charlie Bartlett," serving as a member of the protagonist's family and contributing to the story's exploration of adolescence and mental health.
- 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_69c68832af1481908ce356e133ebaebe |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d8c9e7b481909079b0f1fb1bc217 |
completed | March 27, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7881e300881909c1cad76bc8b23ff |
completed | March 28, 2026, 7:49 a.m. |
| NEDg | Description generation | batch_69c78ac24a9481909f9f75d1d360b0ed |
completed | March 28, 2026, 8:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c78b19314c81908db5b013a0ba9a2c |
completed | March 28, 2026, 8:02 a.m. |
Created at: March 27, 2026, 2:22 p.m.