Triple
T17719210
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lisa Eilbacher |
E442286
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Eilbacher
Eilbacher is a surname most notably associated with American actress Lisa Eilbacher, known for her roles in films and television during the 1970s and 1980s.
|
E1289095
|
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: Eilbacher | Statement: [Lisa Eilbacher, familyName, Eilbacher]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eilbacher Context triple: [Lisa Eilbacher, familyName, Eilbacher]
-
A.
Elbbach
Elbbach is a river in western Germany that flows through the town of Hadamar and is a tributary of the Lahn River.
-
B.
Eckersbach
Eckersbach is a district of the city of Zwickau in the German state of Saxony, known primarily as a residential area.
-
C.
Gillbach
Gillbach is a small stream in North Rhine-Westphalia, Germany, known as a tributary of the Erft River and for its unusually warm, power-plant-influenced waters that support tropical fish populations.
-
D.
Gaisbach
Gaisbach is a village and district of the town of Oberkirch in the state of Baden-Württemberg in southwestern Germany.
-
E.
Kraichbach
Kraichbach is a small river in southwestern Germany that flows through the Kraichgau region before joining the Rhine.
- 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: Eilbacher Triple: [Lisa Eilbacher, familyName, Eilbacher]
Generated description
Eilbacher is a surname most notably associated with American actress Lisa Eilbacher, known for her roles in films and television during the 1970s and 1980s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Eilbacher Target entity description: Eilbacher is a surname most notably associated with American actress Lisa Eilbacher, known for her roles in films and television during the 1970s and 1980s.
-
A.
Elbbach
Elbbach is a river in western Germany that flows through the town of Hadamar and is a tributary of the Lahn River.
-
B.
Eckersbach
Eckersbach is a district of the city of Zwickau in the German state of Saxony, known primarily as a residential area.
-
C.
Gillbach
Gillbach is a small stream in North Rhine-Westphalia, Germany, known as a tributary of the Erft River and for its unusually warm, power-plant-influenced waters that support tropical fish populations.
-
D.
Gaisbach
Gaisbach is a village and district of the town of Oberkirch in the state of Baden-Württemberg in southwestern Germany.
-
E.
Kraichbach
Kraichbach is a small river in southwestern Germany that flows through the Kraichgau region before joining the Rhine.
- 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_69d8b9ec79688190b86bdcef85a7b3aa |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e474844ff48190b1cf181eb9c113d9 |
completed | April 19, 2026, 6:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a02ff4f2c08819090e638182c57e5c5 |
completed | May 12, 2026, 10:22 a.m. |
| NEDg | Description generation | batch_6a02ffc8368081909524998713887353 |
completed | May 12, 2026, 10:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0300ae791481908d99ee4215473100 |
completed | May 12, 2026, 10:27 a.m. |
Created at: April 10, 2026, 10:07 a.m.