Triple
T10090040
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elmo Williams |
E215318
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Lorraine Williams
Lorraine Williams is known as the wife of Academy Award–winning film editor and producer Elmo Williams.
|
E912221
|
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: Lorraine Williams | Statement: [Elmo Williams, spouse, Lorraine Williams]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lorraine Williams Context triple: [Elmo Williams, spouse, Lorraine Williams]
-
A.
Lorraine Nicholson
Lorraine Nicholson is an American actress and filmmaker known for roles in films like "Click" and "Soul Surfer" and for being the daughter of actor Jack Nicholson.
-
B.
Lorraine Baines
Lorraine Baines is a central character in the "Back to the Future" film series, best known as Marty McFly’s mother whose teenage life in 1955 becomes the focus of his time-traveling adventures.
-
C.
Yolanda Williams
Yolanda Williams is best known as the wife of legendary American boxer Muhammad Ali.
-
D.
Lorraine Miller
Lorraine Miller was an American actress and dancer active in Hollywood films during the 1940s and 1950s.
-
E.
Sharon Williams
Sharon Williams is known for being the first wife of acclaimed film director James Cameron.
- 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: Lorraine Williams Triple: [Elmo Williams, spouse, Lorraine Williams]
Generated description
Lorraine Williams is known as the wife of Academy Award–winning film editor and producer Elmo Williams.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lorraine Williams Target entity description: Lorraine Williams is known as the wife of Academy Award–winning film editor and producer Elmo Williams.
-
A.
Lorraine Nicholson
Lorraine Nicholson is an American actress and filmmaker known for roles in films like "Click" and "Soul Surfer" and for being the daughter of actor Jack Nicholson.
-
B.
Lorraine Baines
Lorraine Baines is a central character in the "Back to the Future" film series, best known as Marty McFly’s mother whose teenage life in 1955 becomes the focus of his time-traveling adventures.
-
C.
Yolanda Williams
Yolanda Williams is best known as the wife of legendary American boxer Muhammad Ali.
-
D.
Lorraine Miller
Lorraine Miller was an American actress and dancer active in Hollywood films during the 1940s and 1950s.
-
E.
Sharon Williams
Sharon Williams is known for being the first wife of acclaimed film director James Cameron.
- 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_69ca83a1eed081908b2e9580f2ebeea7 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdd05960008190baecb8e4c9f2461f |
completed | April 2, 2026, 2:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4aca16a10819097bb8655c8c1a36d |
completed | April 19, 2026, 10:21 a.m. |
| NEDg | Description generation | batch_69e4afa531e0819097587675198bb8a1 |
completed | April 19, 2026, 10:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e4b1f68c8c819096d58ac02d76ec0d |
completed | April 19, 2026, 10:44 a.m. |
Created at: March 30, 2026, 9:01 p.m.