Triple
T5791309
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aged in Wood |
E128399
|
entity |
| Predicate | hasFictionalCharacter |
P15645
|
FINISHED |
| Object |
Max Fabian
Max Fabian is a fictional character from the 1950 film "Aged in Wood."
|
E553673
|
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: Max Fabian | Statement: [Aged in Wood, hasFictionalCharacter, Max Fabian]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Max Fabian Context triple: [Aged in Wood, hasFictionalCharacter, Max Fabian]
-
A.
Dietrich Hrabak
Dietrich Hrabak was a German Luftwaffe fighter ace and high-ranking officer during World War II, known for his leadership roles on the Eastern Front.
-
B.
Felix Steiner
Felix Steiner was a high-ranking German SS commander during World War II who led several Waffen-SS formations on the Eastern and Western Fronts.
-
C.
Moritz Borman
Moritz Borman is a film producer known for working on major Hollywood productions, including the science fiction action film "Terminator Salvation."
-
D.
Emil Puhl
Emil Puhl was a high-ranking German banker and vice president of the Reichsbank who played a key role in managing Nazi Germany’s looted assets and was later convicted as a war criminal.
-
E.
Paul Tabori
Paul Tabori was a Hungarian-British writer, journalist, and screenwriter known for his work in mid-20th-century film and literature, often exploring psychological and speculative themes.
- 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: Max Fabian Triple: [Aged in Wood, hasFictionalCharacter, Max Fabian]
Generated description
Max Fabian is a fictional character from the 1950 film "Aged in Wood."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Max Fabian Target entity description: Max Fabian is a fictional character from the 1950 film "Aged in Wood."
-
A.
Dietrich Hrabak
Dietrich Hrabak was a German Luftwaffe fighter ace and high-ranking officer during World War II, known for his leadership roles on the Eastern Front.
-
B.
Felix Steiner
Felix Steiner was a high-ranking German SS commander during World War II who led several Waffen-SS formations on the Eastern and Western Fronts.
-
C.
Moritz Borman
Moritz Borman is a film producer known for working on major Hollywood productions, including the science fiction action film "Terminator Salvation."
-
D.
Emil Puhl
Emil Puhl was a high-ranking German banker and vice president of the Reichsbank who played a key role in managing Nazi Germany’s looted assets and was later convicted as a war criminal.
-
E.
Paul Tabori
Paul Tabori was a Hungarian-British writer, journalist, and screenwriter known for his work in mid-20th-century film and literature, often exploring psychological and speculative themes.
- 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_69c00845ca68819081a2ce3ecca577f7 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02a56c73c81908a1c72c86e474b54 |
completed | March 22, 2026, 5:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0b0d71b7881909108c7347ce91317 |
completed | March 23, 2026, 3:17 a.m. |
| NEDg | Description generation | batch_69c0b1cb731481909de9c3fde3595b7b |
completed | March 23, 2026, 3:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0b27f53608190b2a1f78e3cd1b634 |
completed | March 23, 2026, 3:24 a.m. |
Created at: March 22, 2026, 3:51 p.m.