Triple
T5170023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Pennsylvania Department of Linguistics |
E116653
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object | Zellig Harris |
E21308
|
NE FINISHED |
How this triple was built (2 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: Zellig Harris | Statement: [University of Pennsylvania Department of Linguistics, foundedBy, Zellig Harris]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zellig Harris Context triple: [University of Pennsylvania Department of Linguistics, foundedBy, Zellig Harris]
-
A.
Zellig Harris
chosen
Zellig Harris was an influential American linguist known for his pioneering work in structural linguistics and discourse analysis, and for mentoring Noam Chomsky.
-
B.
Solomon Kullback
Solomon Kullback was an American statistician and cryptanalyst best known for co-developing the Kullback–Leibler divergence, a fundamental concept in information theory and statistics.
-
C.
Jack Schwartz
Jack Schwartz was an American mathematician and computer scientist known for his contributions to programming languages, parallel computing, and the development of the SETL language.
-
D.
Richard Waldinger
Richard Waldinger is a computer scientist known for his work in automated reasoning and program verification, often in collaboration with Zohar Manna.
-
E.
Daniel G. Bobrow
Daniel G. Bobrow was an influential American computer scientist and early artificial intelligence researcher known for his work on natural language understanding and AI programming systems.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69bd445ff97c81909a2615cc56235470 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd794f44248190a3a90c92208104a7 |
completed | March 20, 2026, 4:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bef7f3f7588190b1a09b408248d18b |
completed | March 21, 2026, 7:56 p.m. |
Created at: March 20, 2026, 1:45 p.m.