Triple
T16317281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. Lawrence Kutner |
E396202
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Kutner
Kutner is a surname most notably associated with Dr. Lawrence Kutner, a fictional physician character from the television series "House."
|
E1206964
|
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: Kutner | Statement: [Dr. Lawrence Kutner, familyName, Kutner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kutner Context triple: [Dr. Lawrence Kutner, familyName, Kutner]
-
A.
Hufstedler
Hufstedler is the surname of Shirley Hufstedler, a prominent American judge and the first U.S. Secretary of Education.
-
B.
Kuttner
Kuttner is a surname of German origin borne by various notable individuals across fields such as literature, politics, and academia.
-
C.
Keeler
Keeler is a surname most notably associated with James Edward Keeler, an American astronomer known for his pioneering work on Saturn's rings and spectroscopy.
-
D.
Kugler
Kugler is a German-language surname borne by various notable individuals across fields such as history, the arts, and public life.
-
E.
Schechter
Schechter is a Jewish surname most notably associated with Solomon Schechter, a prominent rabbi and scholar who helped shape Conservative Judaism.
- 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: Kutner Triple: [Dr. Lawrence Kutner, familyName, Kutner]
Generated description
Kutner is a surname most notably associated with Dr. Lawrence Kutner, a fictional physician character from the television series "House."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kutner Target entity description: Kutner is a surname most notably associated with Dr. Lawrence Kutner, a fictional physician character from the television series "House."
-
A.
Hufstedler
Hufstedler is the surname of Shirley Hufstedler, a prominent American judge and the first U.S. Secretary of Education.
-
B.
Kuttner
Kuttner is a surname of German origin borne by various notable individuals across fields such as literature, politics, and academia.
-
C.
Keeler
Keeler is a surname most notably associated with James Edward Keeler, an American astronomer known for his pioneering work on Saturn's rings and spectroscopy.
-
D.
Kugler
Kugler is a German-language surname borne by various notable individuals across fields such as history, the arts, and public life.
-
E.
Schechter
Schechter is a Jewish surname most notably associated with Solomon Schechter, a prominent rabbi and scholar who helped shape Conservative Judaism.
- 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_69d87f255b788190a400eba031dd85d8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e296b31b988190bb1fde36dae11bbd |
completed | April 17, 2026, 8:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a002606f0e0819081f50dae9e6b7a0d |
completed | May 10, 2026, 6:30 a.m. |
| NEDg | Description generation | batch_6a00275e44d481909bed62779ea9a0d7 |
completed | May 10, 2026, 6:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0027f99d948190b22812f0c9a2c0ff |
completed | May 10, 2026, 6:38 a.m. |
Created at: April 10, 2026, 5:06 a.m.