Triple
T11993387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Life of Emile Zola |
E285467
|
entity |
| Predicate | starred |
P5563
|
FINISHED |
| Object |
Gloria Holden
Gloria Holden was a British-born American actress best known for her roles in classic Hollywood films of the 1930s and 1940s, particularly in horror and drama genres.
|
E1034094
|
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: Gloria Holden | Statement: [The Life of Emile Zola, starred, Gloria Holden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gloria Holden Context triple: [The Life of Emile Zola, starred, Gloria Holden]
-
A.
Gloria Connors
Gloria Connors was an American tennis coach best known as the mother and early mentor of tennis champion Jimmy Connors.
-
B.
Gloria Loomis
Gloria Loomis is a literary agent and the wife of the late American screenwriter Walter Bernstein.
-
C.
Gloria Foster
Gloria Foster was an American actress best known for her acclaimed stage work and for portraying the Oracle in the first two films of The Matrix trilogy.
-
D.
Gloria Millington
Gloria Millington is a fictional character from the "Kingdom" series, known for her role within its dramatic, character-driven storyline.
-
E.
Gloria Page
Gloria Page is known as the mother of Larry Page, the co-founder of Google.
- 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: Gloria Holden Triple: [The Life of Emile Zola, starred, Gloria Holden]
Generated description
Gloria Holden was a British-born American actress best known for her roles in classic Hollywood films of the 1930s and 1940s, particularly in horror and drama genres.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gloria Holden Target entity description: Gloria Holden was a British-born American actress best known for her roles in classic Hollywood films of the 1930s and 1940s, particularly in horror and drama genres.
-
A.
Gloria Connors
Gloria Connors was an American tennis coach best known as the mother and early mentor of tennis champion Jimmy Connors.
-
B.
Gloria Loomis
Gloria Loomis is a literary agent and the wife of the late American screenwriter Walter Bernstein.
-
C.
Gloria Foster
Gloria Foster was an American actress best known for her acclaimed stage work and for portraying the Oracle in the first two films of The Matrix trilogy.
-
D.
Gloria Millington
Gloria Millington is a fictional character from the "Kingdom" series, known for her role within its dramatic, character-driven storyline.
-
E.
Gloria Page
Gloria Page is known as the mother of Larry Page, the co-founder of Google.
- 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_69d6ab44a77c8190a652f4b27164e4ef |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903b11ac481909866b611380792e7 |
completed | April 10, 2026, 2:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f71f05b3e08190be0d4e0ad2bfb2d1 |
completed | May 3, 2026, 10:10 a.m. |
| NEDg | Description generation | batch_69f71fad1494819083484407dac16a7f |
completed | May 3, 2026, 10:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7205e52108190a5d3a1f50addb0f3 |
completed | May 3, 2026, 10:15 a.m. |
Created at: April 8, 2026, 9:46 p.m.