Triple
T11171385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hans Gruber |
E264280
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Gruber
Gruber is a German surname commonly associated with individuals of German-speaking origin and notably recognized in popular culture through characters such as Hans Gruber from the film "Die Hard."
|
E908915
|
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: Gruber | Statement: [Hans Gruber, familyName, Gruber]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gruber Context triple: [Hans Gruber, familyName, Gruber]
-
A.
Eisgruber
Eisgruber is the surname of Christopher L. Eisgruber, a constitutional scholar and the president of Princeton University.
-
B.
Neuberger
Neuberger is a surname most prominently associated with Lord Neuberger of Abbotsbury, a senior British judge and former President of the UK Supreme Court.
-
C.
Dawid Graber
Dawid Graber was a young Jewish man in the Warsaw Ghetto who helped bury and preserve the clandestine Ringelblum Archive documenting Nazi atrocities during World War II.
-
D.
C. Grober
C. Grober was a mountaineer known for participating in the first ascent of Punta Gnifetti in the Alps.
-
E.
Augspurger
Augspurger is a family surname associated with individuals such as Otelia Augspurger Compton.
- 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: Gruber Triple: [Hans Gruber, familyName, Gruber]
Generated description
Gruber is a German surname commonly associated with individuals of German-speaking origin and notably recognized in popular culture through characters such as Hans Gruber from the film "Die Hard."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gruber Target entity description: Gruber is a German surname commonly associated with individuals of German-speaking origin and notably recognized in popular culture through characters such as Hans Gruber from the film "Die Hard."
-
A.
Eisgruber
Eisgruber is the surname of Christopher L. Eisgruber, a constitutional scholar and the president of Princeton University.
-
B.
Neuberger
Neuberger is a surname most prominently associated with Lord Neuberger of Abbotsbury, a senior British judge and former President of the UK Supreme Court.
-
C.
Dawid Graber
Dawid Graber was a young Jewish man in the Warsaw Ghetto who helped bury and preserve the clandestine Ringelblum Archive documenting Nazi atrocities during World War II.
-
D.
C. Grober
C. Grober was a mountaineer known for participating in the first ascent of Punta Gnifetti in the Alps.
-
E.
Augspurger
Augspurger is a family surname associated with individuals such as Otelia Augspurger Compton.
- 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_69d6aa9dafac8190bd90d2c74f661aa7 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e89660208190b1d9e91529f5d246 |
completed | April 9, 2026, 5:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e463b155a08190b361b38a39d25b1f |
completed | April 19, 2026, 5:10 a.m. |
| NEDg | Description generation | batch_69e46c37efec81908aa709587c37569d |
completed | April 19, 2026, 5:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e47292cdd08190b05c4c8b09f4f918 |
completed | April 19, 2026, 6:13 a.m. |
Created at: April 8, 2026, 9:29 p.m.