Triple
T21357081
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paul Federn |
E526660
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Federn
Federn is a surname most notably associated with Paul Federn, an Austrian psychoanalyst and early follower of Sigmund Freud.
|
E1480550
|
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: Federn | Statement: [Paul Federn, familyName, Federn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Federn Context triple: [Paul Federn, familyName, Federn]
-
A.
Feather
"Feather" is a 2023 pop song by American singer Sabrina Carpenter, known for its catchy hook and playful, confident lyrics about shedding a toxic relationship.
-
B.
Plumette
Plumette is the feather-duster-turned-enchanted-bird maid and love interest of Lumière in Disney’s 2017 live-action adaptation of Beauty and the Beast.
-
C.
Feathers
Feathers is a novel by Israeli author Haim Be’er, recognized for its rich portrayal of Jewish life and identity.
-
D.
Feathers
Feathers is the sharp-tongued, resourceful female gambler and love interest of Sheriff John T. Chance in the classic Western film "Rio Bravo."
-
E.
Feuillant
The Feuillants were a moderate monarchist political faction during the French Revolution that supported a constitutional monarchy and opposed the more radical Jacobins.
- 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: Federn Triple: [Paul Federn, familyName, Federn]
Generated description
Federn is a surname most notably associated with Paul Federn, an Austrian psychoanalyst and early follower of Sigmund Freud.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Federn Target entity description: Federn is a surname most notably associated with Paul Federn, an Austrian psychoanalyst and early follower of Sigmund Freud.
-
A.
Feather
"Feather" is a 2023 pop song by American singer Sabrina Carpenter, known for its catchy hook and playful, confident lyrics about shedding a toxic relationship.
-
B.
Plumette
Plumette is the feather-duster-turned-enchanted-bird maid and love interest of Lumière in Disney’s 2017 live-action adaptation of Beauty and the Beast.
-
C.
Feathers
Feathers is a novel by Israeli author Haim Be’er, recognized for its rich portrayal of Jewish life and identity.
-
D.
Feathers
Feathers is the sharp-tongued, resourceful female gambler and love interest of Sheriff John T. Chance in the classic Western film "Rio Bravo."
-
E.
Feuillant
The Feuillants were a moderate monarchist political faction during the French Revolution that supported a constitutional monarchy and opposed the more radical Jacobins.
- 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_69e0b51d8a308190b09113b3b3f9bc15 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8afa1a9b0819083a5a8f34c49d409 |
completed | April 22, 2026, 11:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09ad65626c819081615b512241fe1c |
completed | May 17, 2026, 11:58 a.m. |
| NEDg | Description generation | batch_6a09b14b7694819084b4b391fa821961 |
completed | May 17, 2026, 12:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09b1af3e708190b7b2971db2508f7b |
completed | May 17, 2026, 12:16 p.m. |
Created at: April 16, 2026, 5:07 p.m.