Triple
T19498658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Italian Woman |
E487840
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Clara Williams
Clara Williams was an early 20th-century American silent film actress known for leading roles in dramatic features.
|
E1377864
|
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: Clara Williams | Statement: [The Italian Woman, starring, Clara Williams]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clara Williams Context triple: [The Italian Woman, starring, Clara Williams]
-
A.
Clara Smith
Clara Smith was the wife of renowned photographer and curator Edward Steichen.
-
B.
Clara Southern
Clara Southern was an influential Australian Impressionist painter known for her atmospheric landscapes and role in the Heidelberg School art movement.
-
C.
Clara Clayton
Clara Clayton is a schoolteacher from the Old West and Doc Brown’s love interest in the film "Back to the Future Part III."
-
D.
Clara Novello Davies
Clara Novello Davies was a prominent Welsh singer and choral conductor renowned for her influential role in Welsh musical life in the late 19th and early 20th centuries.
-
E.
Clara Grant
Clara Grant is a relative of the Doctor Who companion Jo Grant, appearing in the wider Doctor Who universe’s expanded lore.
- 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: Clara Williams Triple: [The Italian Woman, starring, Clara Williams]
Generated description
Clara Williams was an early 20th-century American silent film actress known for leading roles in dramatic features.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Clara Williams Target entity description: Clara Williams was an early 20th-century American silent film actress known for leading roles in dramatic features.
-
A.
Clara Smith
Clara Smith was the wife of renowned photographer and curator Edward Steichen.
-
B.
Clara Southern
Clara Southern was an influential Australian Impressionist painter known for her atmospheric landscapes and role in the Heidelberg School art movement.
-
C.
Clara Clayton
Clara Clayton is a schoolteacher from the Old West and Doc Brown’s love interest in the film "Back to the Future Part III."
-
D.
Clara Novello Davies
Clara Novello Davies was a prominent Welsh singer and choral conductor renowned for her influential role in Welsh musical life in the late 19th and early 20th centuries.
-
E.
Clara Grant
Clara Grant is a relative of the Doctor Who companion Jo Grant, appearing in the wider Doctor Who universe’s expanded lore.
- 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_69d8e8d9d1c88190b01cd78b8be49384 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63493232881909fc33fb84da3e1b5 |
completed | April 20, 2026, 2:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0740631e0c819087d828666f633899 |
completed | May 15, 2026, 3:48 p.m. |
| NEDg | Description generation | batch_6a0740e72ad48190a98124f59d3e33b6 |
completed | May 15, 2026, 3:51 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07416b52888190aa6b2a251b407abd |
completed | May 15, 2026, 3:53 p.m. |
Created at: April 10, 2026, 1:40 p.m.