Triple
T1724502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greg Kroah-Hartman |
E37466
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Kroah-Hartman
Kroah-Hartman is the hyphenated surname of Greg Kroah-Hartman, a prominent Linux kernel developer and maintainer.
|
E195192
|
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: Kroah-Hartman | Statement: [Greg Kroah-Hartman, familyName, Kroah-Hartman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kroah-Hartman Context triple: [Greg Kroah-Hartman, familyName, Kroah-Hartman]
-
A.
Erwin
Erwin is a masculine given name of German origin, historically associated with figures such as the World War II field marshal Erwin Rommel.
-
B.
Johanus
Johanus is a given name, likely a variant or diminutive of Johan, used as a personal first name in some cultures.
-
C.
Hyllus
Hyllus is a figure in Greek mythology known as the son of Heracles and Deianira, often associated with the Dorian invasion and the Heracleidae.
-
D.
Armgard
Armgard is a feminine given name of German origin, historically borne by European nobility such as Armgard von Cramm, the mother of Prince Bernhard of Lippe-Biesterfeld.
-
E.
Heidkrüger
Heidkrüger is the original German surname of actress and former fashion model Diane Kruger.
- 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: Kroah-Hartman Triple: [Greg Kroah-Hartman, familyName, Kroah-Hartman]
Generated description
Kroah-Hartman is the hyphenated surname of Greg Kroah-Hartman, a prominent Linux kernel developer and maintainer.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kroah-Hartman Target entity description: Kroah-Hartman is the hyphenated surname of Greg Kroah-Hartman, a prominent Linux kernel developer and maintainer.
-
A.
Erwin
Erwin is a masculine given name of German origin, historically associated with figures such as the World War II field marshal Erwin Rommel.
-
B.
Johanus
Johanus is a given name, likely a variant or diminutive of Johan, used as a personal first name in some cultures.
-
C.
Hyllus
Hyllus is a figure in Greek mythology known as the son of Heracles and Deianira, often associated with the Dorian invasion and the Heracleidae.
-
D.
Armgard
Armgard is a feminine given name of German origin, historically borne by European nobility such as Armgard von Cramm, the mother of Prince Bernhard of Lippe-Biesterfeld.
-
E.
Heidkrüger
Heidkrüger is the original German surname of actress and former fashion model Diane Kruger.
- 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_69a8861acab88190bb43cde203429399 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa635a5c8c8190b3fbf977a93838fd |
completed | March 6, 2026, 5:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad8aefefc881908acd48eebc67c6ec |
completed | March 8, 2026, 2:42 p.m. |
| NEDg | Description generation | batch_69ad979ce880819089daecbc8455ec84 |
completed | March 8, 2026, 3:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad9ba92a848190918a8748fb65348a |
completed | March 8, 2026, 3:54 p.m. |
Created at: March 4, 2026, 7:30 p.m.