Triple
T17886937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doctor Fate |
E447222
|
entity |
| Predicate | alterEgo |
P39
|
FINISHED |
| Object |
Eric Strauss
Eric Strauss is a DC Comics character who becomes one of the human hosts of the powerful mystical superhero Doctor Fate.
|
E1293511
|
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: Eric Strauss | Statement: [Doctor Fate, alterEgo, Eric Strauss]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eric Strauss Context triple: [Doctor Fate, alterEgo, Eric Strauss]
-
A.
Steven Strait
Steven Strait is an American actor and singer best known for his leading role as James Holden in the science fiction television series "The Expanse."
-
B.
Michael Strauss
Michael Strauss is an American astrophysicist and Princeton University professor known for his work on extragalactic astronomy and large-scale structure of the universe.
-
C.
Eric Strobel
Eric Strobel is a former American ice hockey forward best known as a member of the "Miracle on Ice" 1980 U.S. Olympic team that won gold in Lake Placid.
-
D.
Michael Bauman
Michael Bauman is a cinematographer best known for his work on the film "Licorice Pizza."
-
E.
Eric Linden
Eric Linden was an American stage and film actor active in the 1930s, often cast as sensitive or troubled young men in Hollywood dramas.
- 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: Eric Strauss Triple: [Doctor Fate, alterEgo, Eric Strauss]
Generated description
Eric Strauss is a DC Comics character who becomes one of the human hosts of the powerful mystical superhero Doctor Fate.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Eric Strauss Target entity description: Eric Strauss is a DC Comics character who becomes one of the human hosts of the powerful mystical superhero Doctor Fate.
-
A.
Steven Strait
Steven Strait is an American actor and singer best known for his leading role as James Holden in the science fiction television series "The Expanse."
-
B.
Michael Strauss
Michael Strauss is an American astrophysicist and Princeton University professor known for his work on extragalactic astronomy and large-scale structure of the universe.
-
C.
Eric Strobel
Eric Strobel is a former American ice hockey forward best known as a member of the "Miracle on Ice" 1980 U.S. Olympic team that won gold in Lake Placid.
-
D.
Michael Bauman
Michael Bauman is a cinematographer best known for his work on the film "Licorice Pizza."
-
E.
Eric Linden
Eric Linden was an American stage and film actor active in the 1930s, often cast as sensitive or troubled young men in Hollywood dramas.
- 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_6a0313dd15d481909d0d539817d11340 |
completed | May 12, 2026, 11:49 a.m. |
| NEDg | Description generation | batch_6a031485c3908190a8fe49068d45e910 |
completed | May 12, 2026, 11:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03151de8408190a4c8bc30f5606951 |
completed | May 12, 2026, 11:55 a.m. |
Created at: April 10, 2026, 10:18 a.m.