Triple
T984502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sid Luft |
E21248
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Sidney
Sidney is the given name of Sid Luft, the American show business figure best known as the third husband and manager of entertainer Judy Garland.
|
E115956
|
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: Sidney | Statement: [Sid Luft, givenName, Sidney]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sidney Context triple: [Sid Luft, givenName, Sidney]
-
A.
Sidney
Sidney is the given name of Sidney Godolphin, 1st Earl of Godolphin, a prominent English statesman and Lord High Treasurer under Queen Anne.
-
B.
Milton
Milton is a small village or locality within the town of Litchfield in northwestern Connecticut, known for its rural New England character.
-
C.
Milton
Milton is a town located within Saratoga County in the state of New York, United States.
-
D.
Milton
Milton is a rapidly growing town in Southern Ontario, Canada, located within the Greater Toronto Area and known for its suburban communities and proximity to major urban centers.
-
E.
Milton
Milton is a suburban town in eastern Massachusetts, United States, located just south of Boston.
- 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: Sidney Triple: [Sid Luft, givenName, Sidney]
Generated description
Sidney is the given name of Sid Luft, the American show business figure best known as the third husband and manager of entertainer Judy Garland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sidney Target entity description: Sidney is the given name of Sid Luft, the American show business figure best known as the third husband and manager of entertainer Judy Garland.
-
A.
Sidney
Sidney is the given name of Sidney Godolphin, 1st Earl of Godolphin, a prominent English statesman and Lord High Treasurer under Queen Anne.
-
B.
Milton
Milton is a small village or locality within the town of Litchfield in northwestern Connecticut, known for its rural New England character.
-
C.
Milton
Milton is a town located within Saratoga County in the state of New York, United States.
-
D.
Milton
Milton is a rapidly growing town in Southern Ontario, Canada, located within the Greater Toronto Area and known for its suburban communities and proximity to major urban centers.
-
E.
Milton
Milton is a suburban town in eastern Massachusetts, United States, located just south of Boston.
- 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_69a493c383dc8190a03257f22d4b4183 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b4959fe48190a78bd811cbc888ab |
completed | March 1, 2026, 9:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac1ce3c6fc81909fbbf04eef1b997e |
completed | March 7, 2026, 12:41 p.m. |
| NEDg | Description generation | batch_69ac1d45b8cc8190b8b678b697d3f7f1 |
completed | March 7, 2026, 12:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac1e2e200881909e9b503655d6f8ab |
completed | March 7, 2026, 12:46 p.m. |
Created at: March 1, 2026, 7:41 p.m.