Triple
T22395757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greenblatt |
E553625
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
Grinblatt
Grinblatt is a surname, likely of Ashkenazi Jewish origin, that serves as a variant spelling of Greenblatt.
|
E1533469
|
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: Grinblatt | Statement: [Greenblatt, hasVariant, Grinblatt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grinblatt Context triple: [Greenblatt, hasVariant, Grinblatt]
-
A.
Sedol
Sedol is the given name of Lee Sedol, the renowned South Korean professional Go player known for his historic matches against AI.
-
B.
Tobin
Tobin is the given name of Tobin Heath, an American professional soccer player and multiple-time FIFA Women's World Cup champion.
-
C.
Chaikin
Chaikin is a surname most notably associated with American actress Carly Chaikin, known for her role in the television series "Mr. Robot."
-
D.
Bergsten
Bergsten is the surname of C. Fred Bergsten, a prominent American economist known for his influential work on international trade and economic policy.
-
E.
Stigler
Stigler is a surname most prominently associated with George Stigler, the Nobel Prize–winning American economist known for his work on industrial organization and the economics of regulation.
- 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: Grinblatt Triple: [Greenblatt, hasVariant, Grinblatt]
Generated description
Grinblatt is a surname, likely of Ashkenazi Jewish origin, that serves as a variant spelling of Greenblatt.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Grinblatt Target entity description: Grinblatt is a surname, likely of Ashkenazi Jewish origin, that serves as a variant spelling of Greenblatt.
-
A.
Sedol
Sedol is the given name of Lee Sedol, the renowned South Korean professional Go player known for his historic matches against AI.
-
B.
Tobin
Tobin is the given name of Tobin Heath, an American professional soccer player and multiple-time FIFA Women's World Cup champion.
-
C.
Chaikin
Chaikin is a surname most notably associated with American actress Carly Chaikin, known for her role in the television series "Mr. Robot."
-
D.
Bergsten
Bergsten is the surname of C. Fred Bergsten, a prominent American economist known for his influential work on international trade and economic policy.
-
E.
Stigler
Stigler is a surname most prominently associated with George Stigler, the Nobel Prize–winning American economist known for his work on industrial organization and the economics of regulation.
- 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_69e11e4da7048190b4387d422a9a0de5 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1585e84b081908c95ed3e0d987ed8 |
completed | April 29, 2026, 1:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ae9c6ad5481909d8138fd1d05bcca |
completed | May 18, 2026, 10:28 a.m. |
| NEDg | Description generation | batch_6a0aea3e17208190a0f4977d4117e7fc |
completed | May 18, 2026, 10:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0aeaa0110c8190b796ea8d52471ca1 |
completed | May 18, 2026, 10:32 a.m. |
Created at: April 16, 2026, 8:45 p.m.