Triple
T21867286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tisch Hospital |
E539913
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Laurence A. Tisch |
—
|
NE NERFINISHED |
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: Laurence A. Tisch | Statement: [Tisch Hospital, namedAfter, Laurence A. Tisch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laurence A. Tisch Context triple: [Tisch Hospital, namedAfter, Laurence A. Tisch]
-
A.
Laurence Tisch
chosen
Laurence Tisch was an American businessman and investor best known as the co-owner of Loews Corporation and former CEO of CBS.
-
B.
Preston Robert Tisch
Preston Robert Tisch was an American businessman and philanthropist best known as co-owner of the New York Giants and former Postmaster General of the United States.
-
C.
Andrew Tisch
Andrew Tisch is an American businessman and co-chair of Loews Corporation, known for his leadership in the family-controlled conglomerate and his involvement in civic and philanthropic initiatives.
-
D.
Louis M. Silverstein
Louis M. Silverstein is a film producer known for his work on the comedy movie "Strange Brew."
-
E.
James Tisch
James Tisch is an American businessman best known as a longtime leader of Loews Corporation, a diversified holding company founded by his family.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c478f59081909d54302b57fc1ce3 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f0f331c55c8190b73cb5aec3378a9e |
completed | April 28, 2026, 5:49 p.m. |
Created at: April 16, 2026, 6:57 p.m.