Triple
T2583260
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rod Steiger |
E57140
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Paula Ellis
Paula Ellis is known as the former wife of acclaimed American actor Rod Steiger.
|
E298789
|
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: Paula Ellis | Statement: [Rod Steiger, spouse, Paula Ellis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paula Ellis Context triple: [Rod Steiger, spouse, Paula Ellis]
-
A.
Judith Nelson
Judith Nelson was an American soprano known for her pioneering work and acclaimed performances in the early music and Baroque repertoire.
-
B.
Anne Heywood
Anne Heywood is a British actress known for her film and television roles from the 1950s through the 1970s, often portraying strong, complex female characters.
-
C.
Ellen Bowen
Ellen Bowen is a fictional character from the 1951 MGM musical film "Royal Wedding," which starred Fred Astaire.
-
D.
Elizabeth Paepcke
Elizabeth Paepcke was an American philanthropist and cultural visionary who, with her husband Walter, played a central role in transforming Aspen, Colorado into an international center for arts, ideas, and intellectual dialogue.
-
E.
Doreen Brett
Doreen Brett was the wife of British comedian and actor Norman Wisdom.
- 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: Paula Ellis Triple: [Rod Steiger, spouse, Paula Ellis]
Generated description
Paula Ellis is known as the former wife of acclaimed American actor Rod Steiger.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Paula Ellis Target entity description: Paula Ellis is known as the former wife of acclaimed American actor Rod Steiger.
-
A.
Judith Nelson
Judith Nelson was an American soprano known for her pioneering work and acclaimed performances in the early music and Baroque repertoire.
-
B.
Anne Heywood
Anne Heywood is a British actress known for her film and television roles from the 1950s through the 1970s, often portraying strong, complex female characters.
-
C.
Ellen Bowen
Ellen Bowen is a fictional character from the 1951 MGM musical film "Royal Wedding," which starred Fred Astaire.
-
D.
Elizabeth Paepcke
Elizabeth Paepcke was an American philanthropist and cultural visionary who, with her husband Walter, played a central role in transforming Aspen, Colorado into an international center for arts, ideas, and intellectual dialogue.
-
E.
Doreen Brett
Doreen Brett was the wife of British comedian and actor Norman Wisdom.
- 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_69ab4a4dca6481908c301f8e317396e7 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd3c9d0548190b29743ac1d7837ff |
completed | March 7, 2026, 7:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afc6316e848190a843f9fd5b152e9f |
completed | March 10, 2026, 7:20 a.m. |
| NEDg | Description generation | batch_69afc6b723f48190b93df0dc2de6c839 |
completed | March 10, 2026, 7:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afc750fee08190bf3c112f6f204af4 |
completed | March 10, 2026, 7:25 a.m. |
Created at: March 6, 2026, 9:49 p.m.