Triple
T17886938
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doctor Fate |
E447222
|
entity |
| Predicate | alterEgo |
P39
|
FINISHED |
| Object |
Linda Strauss
Linda Strauss is a DC Comics character who briefly served as one of the human hosts of the mystical superhero Doctor Fate.
|
E1299922
|
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: Linda Strauss | Statement: [Doctor Fate, alterEgo, Linda Strauss]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Linda Strauss Context triple: [Doctor Fate, alterEgo, Linda Strauss]
-
A.
Annette Strauss
Annette Strauss was an American civic leader and philanthropist who became one of Dallas’s most prominent mayors in the late 1980s.
-
B.
Linda Gottlieb
Linda Gottlieb is an American film and television producer best known for producing the iconic 1987 romantic drama film "Dirty Dancing."
-
C.
Linda Kramer
Linda Kramer is best known as the wife of Aerosmith drummer Joey Kramer.
-
D.
Linda Kingsberg
Linda Kingsberg is best known as the wife of American actor Ernie Hudson, recognized for his roles in films such as "Ghostbusters."
-
E.
Yvonne Landowski
Yvonne Landowski was the wife of French sculptor Paul Landowski, known primarily in relation to his life and work.
- 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: Linda Strauss Triple: [Doctor Fate, alterEgo, Linda Strauss]
Generated description
Linda Strauss is a DC Comics character who briefly served as one of the human hosts of the mystical superhero Doctor Fate.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Linda Strauss Target entity description: Linda Strauss is a DC Comics character who briefly served as one of the human hosts of the mystical superhero Doctor Fate.
-
A.
Annette Strauss
Annette Strauss was an American civic leader and philanthropist who became one of Dallas’s most prominent mayors in the late 1980s.
-
B.
Linda Gottlieb
Linda Gottlieb is an American film and television producer best known for producing the iconic 1987 romantic drama film "Dirty Dancing."
-
C.
Linda Kramer
Linda Kramer is best known as the wife of Aerosmith drummer Joey Kramer.
-
D.
Linda Kingsberg
Linda Kingsberg is best known as the wife of American actor Ernie Hudson, recognized for his roles in films such as "Ghostbusters."
-
E.
Yvonne Landowski
Yvonne Landowski was the wife of French sculptor Paul Landowski, known primarily in relation to his life and work.
- 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_69d8b9f59bd48190a6fc925a855b8bac |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49c13bd288190a0302010ba4d0532 |
completed | April 19, 2026, 9:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03379bd8d08190b46a72df4502d95c |
completed | May 12, 2026, 2:22 p.m. |
| NEDg | Description generation | batch_6a033ca5e4c08190b7de8ab2d4fb8e3b |
completed | May 12, 2026, 2:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a033daf5b948190926f2925b8e3cc84 |
completed | May 12, 2026, 2:48 p.m. |
Created at: April 10, 2026, 10:18 a.m.