Triple
T10809493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Damien Thorn |
E255057
|
entity |
| Predicate | enemy |
P4567
|
FINISHED |
| Object |
Bugenhagen
Bugenhagen is a scholarly archaeologist and occult expert in "The Omen" film series who helps uncover the true nature of Damien Thorn and how to stop him.
|
E887319
|
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: Bugenhagen | Statement: [Damien Thorn, enemy, Bugenhagen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bugenhagen Context triple: [Damien Thorn, enemy, Bugenhagen]
-
A.
Biesenthal
Biesenthal is a small town in the Barnim district of Brandenburg, Germany, known for its surrounding lakes, forests, and location within the Barnim Nature Park.
-
B.
Matzelsberger
Matzelsberger is a German-language surname most notably associated with Franziska Matzelsberger, the second wife of Emperor Franz Joseph I of Austria.
-
C.
Eigenberg
Eigenberg is a surname most notably associated with American actor David Eigenberg, known for his role as Steve Brady on the television series "Sex and the City."
-
D.
Braunshardt
Braunshardt is a district of the town of Weiterstadt in the state of Hesse, Germany.
-
E.
Baar-Ebenhausen
Baar-Ebenhausen is a Bavarian municipality in southern Germany known for its residential character and location along the Ilm River.
- 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: Bugenhagen Triple: [Damien Thorn, enemy, Bugenhagen]
Generated description
Bugenhagen is a scholarly archaeologist and occult expert in "The Omen" film series who helps uncover the true nature of Damien Thorn and how to stop him.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bugenhagen Target entity description: Bugenhagen is a scholarly archaeologist and occult expert in "The Omen" film series who helps uncover the true nature of Damien Thorn and how to stop him.
-
A.
Biesenthal
Biesenthal is a small town in the Barnim district of Brandenburg, Germany, known for its surrounding lakes, forests, and location within the Barnim Nature Park.
-
B.
Matzelsberger
Matzelsberger is a German-language surname most notably associated with Franziska Matzelsberger, the second wife of Emperor Franz Joseph I of Austria.
-
C.
Eigenberg
Eigenberg is a surname most notably associated with American actor David Eigenberg, known for his role as Steve Brady on the television series "Sex and the City."
-
D.
Braunshardt
Braunshardt is a district of the town of Weiterstadt in the state of Hesse, Germany.
-
E.
Baar-Ebenhausen
Baar-Ebenhausen is a Bavarian municipality in southern Germany known for its residential character and location along the Ilm River.
- 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_69d6aa61c15c8190a1839550c56e75e1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d733b6efc48190bb64b5a8fac843c4 |
completed | April 9, 2026, 5:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de8526237881908dc3b25b16de7871 |
completed | April 14, 2026, 6:19 p.m. |
| NEDg | Description generation | batch_69de8954500c81909b57c4f8007959aa |
completed | April 14, 2026, 6:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69de8f38e3048190b1acc81bb56fe165 |
completed | April 14, 2026, 7:02 p.m. |
Created at: April 8, 2026, 9:18 p.m.