Triple
T11383536
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Howard Lutnick |
E269656
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Lutnick
Lutnick is a surname most prominently associated with Howard Lutnick, the American businessman and CEO of financial services firm Cantor Fitzgerald.
|
E922810
|
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: Lutnick | Statement: [Howard Lutnick, familyName, Lutnick]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lutnick Context triple: [Howard Lutnick, familyName, Lutnick]
-
A.
Lubowitz
Lubowitz is a village in present-day Poland historically known as the birthplace of the Romantic poet Joseph von Eichendorff.
-
B.
Porter Novelli
Porter Novelli is a global public relations and communications agency known for its work in brand reputation, public affairs, and social impact campaigns.
-
C.
Nathan Sugarman
Nathan Sugarman was an American physicist known for his work in nuclear chemistry and his contributions to the Manhattan Project.
-
D.
Jerold
Jerold is the full given first name of American college basketball coach Jay Wright.
-
E.
Eric Falkenstein
Eric Falkenstein is a theater and film producer known for backing notable stage productions such as the play "Lucky Guy."
- 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: Lutnick Triple: [Howard Lutnick, familyName, Lutnick]
Generated description
Lutnick is a surname most prominently associated with Howard Lutnick, the American businessman and CEO of financial services firm Cantor Fitzgerald.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lutnick Target entity description: Lutnick is a surname most prominently associated with Howard Lutnick, the American businessman and CEO of financial services firm Cantor Fitzgerald.
-
A.
Lubowitz
Lubowitz is a village in present-day Poland historically known as the birthplace of the Romantic poet Joseph von Eichendorff.
-
B.
Porter Novelli
Porter Novelli is a global public relations and communications agency known for its work in brand reputation, public affairs, and social impact campaigns.
-
C.
Nathan Sugarman
Nathan Sugarman was an American physicist known for his work in nuclear chemistry and his contributions to the Manhattan Project.
-
D.
Jerold
Jerold is the full given first name of American college basketball coach Jay Wright.
-
E.
Eric Falkenstein
Eric Falkenstein is a theater and film producer known for backing notable stage productions such as the play "Lucky Guy."
- 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_69d6aacca1048190b39dbbc2174616fa |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7fc34f1f0819082dd977313ee6070 |
completed | April 9, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e58bff6574819089bd63266b97a734 |
completed | April 20, 2026, 2:14 a.m. |
| NEDg | Description generation | batch_69e59323c5948190bc2c9512f7b0a54f |
completed | April 20, 2026, 2:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e599c53704819097c0fdbbfbbb1e87 |
completed | April 20, 2026, 3:13 a.m. |
Created at: April 8, 2026, 9:34 p.m.