Triple
T20384771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crispian Mills |
E497930
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Josephine Mills
Josephine Mills is known as the spouse of British musician and filmmaker Crispian Mills.
|
E1433454
|
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: Josephine Mills | Statement: [Crispian Mills, spouse, Josephine Mills]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Josephine Mills Context triple: [Crispian Mills, spouse, Josephine Mills]
-
A.
Josephine Lloyd
Josephine Lloyd is an individual known professionally as Josie Lloyd, likely recognized for work or public presence under that name.
-
B.
Josephine Miles
Josephine Miles was an influential American poet, literary critic, and longtime University of California, Berkeley professor known for her pioneering work in quantitative literary analysis and support of diverse voices in literature.
-
C.
Josephine Fricker
Josephine Fricker was the wife of British author Hugh Lofting, best known for creating the Doctor Dolittle series.
-
D.
Josephine Hull
Josephine Hull was an American stage and film actress best known for her comedic character roles, including her Oscar-winning performance in "Harvey."
-
E.
Josephine Green
Josephine Green is known primarily as the wife of British film director and cinematographer Guy Green.
- 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: Josephine Mills Triple: [Crispian Mills, spouse, Josephine Mills]
Generated description
Josephine Mills is known as the spouse of British musician and filmmaker Crispian Mills.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Josephine Mills Target entity description: Josephine Mills is known as the spouse of British musician and filmmaker Crispian Mills.
-
A.
Josephine Lloyd
Josephine Lloyd is an individual known professionally as Josie Lloyd, likely recognized for work or public presence under that name.
-
B.
Josephine Miles
Josephine Miles was an influential American poet, literary critic, and longtime University of California, Berkeley professor known for her pioneering work in quantitative literary analysis and support of diverse voices in literature.
-
C.
Josephine Fricker
Josephine Fricker was the wife of British author Hugh Lofting, best known for creating the Doctor Dolittle series.
-
D.
Josephine Hull
Josephine Hull was an American stage and film actress best known for her comedic character roles, including her Oscar-winning performance in "Harvey."
-
E.
Josephine Green
Josephine Green is known primarily as the wife of British film director and cinematographer Guy Green.
- 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_69e0b4a71ebc8190b153a36c738730f4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6790a31a4819099b2e6df2bafe547 |
completed | April 20, 2026, 7:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a088b0181a4819091030ed92f04d2dc |
completed | May 16, 2026, 3:19 p.m. |
| NEDg | Description generation | batch_6a088f2c8ccc8190a1dc02db8e799355 |
completed | May 16, 2026, 3:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a088f81fd0c8190a006db7e4fa9b440 |
completed | May 16, 2026, 3:38 p.m. |
Created at: April 16, 2026, 11:28 a.m.