Triple
T387296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Widener Library |
E8805
|
entity |
| Predicate | hasOnlineCatalog |
P9162
|
FINISHED |
| Object |
HOLLIS
HOLLIS is Harvard University's integrated online library catalog and discovery system for accessing its vast collections of books, media, and digital resources.
|
E49384
|
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: HOLLIS | Statement: [Widener Library, hasOnlineCatalog, HOLLIS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HOLLIS Context triple: [Widener Library, hasOnlineCatalog, HOLLIS]
-
A.
Elliott
Elliott is a masculine given name of English origin, often used as both a first name and a surname.
-
B.
Sloan
Sloan is a surname most notably associated with Alfred P. Sloan, the influential long-time president and chairman of General Motors.
-
C.
Hollis Hall
Hollis Hall is one of Harvard University's historic brick dormitories, located in Harvard Yard and traditionally housing first-year students.
-
D.
Hayes
Hayes is a suburban district in southeast London, England, known for its residential character and green spaces within the London Borough of Bromley.
-
E.
Harper
Harper is a major American publishing house known for releasing a wide range of influential fiction and nonfiction works.
- 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: HOLLIS Triple: [Widener Library, hasOnlineCatalog, HOLLIS]
Generated description
HOLLIS is Harvard University's integrated online library catalog and discovery system for accessing its vast collections of books, media, and digital resources.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: HOLLIS Target entity description: HOLLIS is Harvard University's integrated online library catalog and discovery system for accessing its vast collections of books, media, and digital resources.
-
A.
Elliott
Elliott is a masculine given name of English origin, often used as both a first name and a surname.
-
B.
Sloan
Sloan is a surname most notably associated with Alfred P. Sloan, the influential long-time president and chairman of General Motors.
-
C.
Hollis Hall
Hollis Hall is one of Harvard University's historic brick dormitories, located in Harvard Yard and traditionally housing first-year students.
-
D.
Hayes
Hayes is a suburban district in southeast London, England, known for its residential character and green spaces within the London Borough of Bromley.
-
E.
Harper
Harper is a major American publishing house known for releasing a wide range of influential fiction and nonfiction works.
- 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_69a2e7f55c60819097aff65ea2ca2832 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ec5828d881909e8810061c02480c |
completed | Feb. 28, 2026, 1:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a403500d048190874ff9e3078d86fe |
completed | March 1, 2026, 9:13 a.m. |
| NEDg | Description generation | batch_69a4041ef2d8819086370c7f55887ae5 |
completed | March 1, 2026, 9:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a4048229bc8190afe728fce60b8eac |
completed | March 1, 2026, 9:18 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.