Triple
T16101656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lee Bollinger |
E390634
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Bollinger
Bollinger is a surname most prominently associated with Lee Bollinger, the American legal scholar and longtime president of Columbia University.
|
E1193864
|
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: Bollinger | Statement: [Lee Bollinger, familyName, Bollinger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bollinger Context triple: [Lee Bollinger, familyName, Bollinger]
-
A.
Bonger
Bonger is a Dutch surname most notably associated with Johanna van Gogh-Bonger, the key figure in preserving and promoting Vincent van Gogh’s artistic legacy.
-
B.
Boll
Boll is a district or locality within the town of Oberndorf am Neckar in the German state of Baden-Württemberg.
-
C.
Hulbert
Hulbert is a small rural community located within the Township of South Dundas in eastern Ontario, Canada.
-
D.
Tobin
Tobin is the given name of Tobin Heath, an American professional soccer player and multiple-time FIFA Women's World Cup champion.
-
E.
Briscoe
Briscoe is a surname most notably associated with Dolph Briscoe, a prominent American rancher and politician who served as governor of Texas.
- 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: Bollinger Triple: [Lee Bollinger, familyName, Bollinger]
Generated description
Bollinger is a surname most prominently associated with Lee Bollinger, the American legal scholar and longtime president of Columbia University.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bollinger Target entity description: Bollinger is a surname most prominently associated with Lee Bollinger, the American legal scholar and longtime president of Columbia University.
-
A.
Bonger
Bonger is a Dutch surname most notably associated with Johanna van Gogh-Bonger, the key figure in preserving and promoting Vincent van Gogh’s artistic legacy.
-
B.
Boll
Boll is a district or locality within the town of Oberndorf am Neckar in the German state of Baden-Württemberg.
-
C.
Hulbert
Hulbert is a small rural community located within the Township of South Dundas in eastern Ontario, Canada.
-
D.
Tobin
Tobin is the given name of Tobin Heath, an American professional soccer player and multiple-time FIFA Women's World Cup champion.
-
E.
Briscoe
Briscoe is a surname most notably associated with Dolph Briscoe, a prominent American rancher and politician who served as governor of Texas.
- 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_69d87f198bc48190a8b7e53ca15b7ead |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e1ff68686481909517eed4266729ca |
completed | April 17, 2026, 9:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffeb9d6140819087f9b3dc549c4aec |
completed | May 10, 2026, 2:21 a.m. |
| NEDg | Description generation | batch_69ffec273abc8190b050c50a395488ba |
completed | May 10, 2026, 2:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffecbd817881909cd8e8c69be1726f |
completed | May 10, 2026, 2:26 a.m. |
Created at: April 10, 2026, 5 a.m.