Triple
T21854103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carol Morsani Hall |
E539577
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object |
Carol Morsani
Carol Morsani is a philanthropist and major arts benefactor whose support has been recognized through the naming of prominent cultural venues.
|
E1515730
|
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: Carol Morsani | Statement: [Carol Morsani Hall, namedAfter, Carol Morsani]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carol Morsani Context triple: [Carol Morsani Hall, namedAfter, Carol Morsani]
-
A.
Marjorie Corso
Marjorie Corso is a costume designer known for her work on the 1961 beach party film "Operation Bikini."
-
B.
Donna Gigliotti
Donna Gigliotti is an Academy Award–winning American film producer known for acclaimed works such as "Shakespeare in Love" and "Silver Linings Playbook."
-
C.
Marjorie Palmiotti
Marjorie Palmiotti is a private individual known primarily for being a relative of Catherine Meyer.
-
D.
Marjorie Scardino
Marjorie Scardino is an American-born British business executive best known for serving as the first female CEO of Pearson PLC, the multinational publishing and education company.
-
E.
Marcia DeBonis
Marcia DeBonis is an American actress known for her character roles in independent films and television, including a part in the drama "12 and Holding."
- 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: Carol Morsani Triple: [Carol Morsani Hall, namedAfter, Carol Morsani]
Generated description
Carol Morsani is a philanthropist and major arts benefactor whose support has been recognized through the naming of prominent cultural venues.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Carol Morsani Target entity description: Carol Morsani is a philanthropist and major arts benefactor whose support has been recognized through the naming of prominent cultural venues.
-
A.
Marjorie Corso
Marjorie Corso is a costume designer known for her work on the 1961 beach party film "Operation Bikini."
-
B.
Donna Gigliotti
Donna Gigliotti is an Academy Award–winning American film producer known for acclaimed works such as "Shakespeare in Love" and "Silver Linings Playbook."
-
C.
Marjorie Palmiotti
Marjorie Palmiotti is a private individual known primarily for being a relative of Catherine Meyer.
-
D.
Marjorie Scardino
Marjorie Scardino is an American-born British business executive best known for serving as the first female CEO of Pearson PLC, the multinational publishing and education company.
-
E.
Marcia DeBonis
Marcia DeBonis is an American actress known for her character roles in independent films and television, including a part in the drama "12 and Holding."
- 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_69e0c47829648190bbe2d1d7033768ec |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f0bd5ba9288190af962117124f6483 |
completed | April 28, 2026, 1:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a7b572a008190af475db0c7afcd57 |
completed | May 18, 2026, 2:37 a.m. |
| NEDg | Description generation | batch_6a0a7d125a788190bf1bc501956be1d9 |
completed | May 18, 2026, 2:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a7de9ca508190b6e74fb62a9cd1bc |
completed | May 18, 2026, 2:48 a.m. |
Created at: April 16, 2026, 6:56 p.m.