Triple
T7440785
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ernest Gold |
E171743
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Martha Gold
Martha Gold is a child of the Academy Award–winning film composer Ernest Gold.
|
E664879
|
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: Martha Gold | Statement: [Ernest Gold, child, Martha Gold]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Martha Gold Context triple: [Ernest Gold, child, Martha Gold]
-
A.
Martha Dix
Martha Dix was the wife and frequent model of German painter Otto Dix, known from many of his portraits and family scenes.
-
B.
Marjorie
Marjorie is a feminine given name of French origin that has been widely used in English-speaking countries.
-
C.
Martha Vickers
Martha Vickers was an American film and television actress best known for her role as Carmen Sternwood in the classic noir film "The Big Sleep" (1946).
-
D.
Martha Stevens
Martha Stevens is a notable individual distinguished enough to be specifically recognized as a prominent bearer of the surname Stevens.
-
E.
Queenie Goldstein
Queenie Goldstein is a warm-hearted, Legilimens witch and skilled American witch from the Fantastic Beasts film series, known for her close bond with her sister Tina and her complicated romance with No-Maj Jacob Kowalski.
- 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: Martha Gold Triple: [Ernest Gold, child, Martha Gold]
Generated description
Martha Gold is a child of the Academy Award–winning film composer Ernest Gold.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Martha Gold Target entity description: Martha Gold is a child of the Academy Award–winning film composer Ernest Gold.
-
A.
Martha Dix
Martha Dix was the wife and frequent model of German painter Otto Dix, known from many of his portraits and family scenes.
-
B.
Marjorie
Marjorie is a feminine given name of French origin that has been widely used in English-speaking countries.
-
C.
Martha Vickers
Martha Vickers was an American film and television actress best known for her role as Carmen Sternwood in the classic noir film "The Big Sleep" (1946).
-
D.
Martha Stevens
Martha Stevens is a notable individual distinguished enough to be specifically recognized as a prominent bearer of the surname Stevens.
-
E.
Queenie Goldstein
Queenie Goldstein is a warm-hearted, Legilimens witch and skilled American witch from the Fantastic Beasts film series, known for her close bond with her sister Tina and her complicated romance with No-Maj Jacob Kowalski.
- 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_69c68a64228c8190affaec2a8127ce7b |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f34d84008190936af2b3670ef210 |
completed | March 27, 2026, 9:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c827976b9081909ac722b397ae0d97 |
completed | March 28, 2026, 7:10 p.m. |
| NEDg | Description generation | batch_69c82817899081909436781c9f249c1d |
completed | March 28, 2026, 7:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c828a5c2f88190aedd55d40520c672 |
completed | March 28, 2026, 7:14 p.m. |
Created at: March 27, 2026, 3:13 p.m.