Triple
T4294746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Heckman |
E99683
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Heckman
Heckman is a surname most prominently associated with Nobel Prize–winning economist James J. Heckman, known for his work on econometrics and labor economics.
|
E428367
|
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: Heckman | Statement: [James Heckman, familyName, Heckman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heckman Context triple: [James Heckman, familyName, Heckman]
-
A.
Blinder
Blinder is the NATO reporting name for the Soviet-era Tupolev Tu-22 supersonic bomber aircraft.
-
B.
Hicks
Hicks is a common English surname borne by numerous notable individuals across politics, sports, entertainment, and other fields.
-
C.
Hoffer
Hoffer is a surname most notably associated with Abram Hoffer, a Canadian psychiatrist known for his work in orthomolecular medicine and niacin therapy for mental illness.
-
D.
Karasek
Karasek is a surname of Central or Eastern European origin, notably borne by Austrian diplomat and politician Franz Karasek.
-
E.
Hart
Hart is a local government district and civil parish area in Hampshire, England, known for its high quality of life and largely rural character.
- 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: Heckman Triple: [James Heckman, familyName, Heckman]
Generated description
Heckman is a surname most prominently associated with Nobel Prize–winning economist James J. Heckman, known for his work on econometrics and labor economics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Heckman Target entity description: Heckman is a surname most prominently associated with Nobel Prize–winning economist James J. Heckman, known for his work on econometrics and labor economics.
-
A.
Blinder
Blinder is the NATO reporting name for the Soviet-era Tupolev Tu-22 supersonic bomber aircraft.
-
B.
Hicks
Hicks is a common English surname borne by numerous notable individuals across politics, sports, entertainment, and other fields.
-
C.
Hoffer
Hoffer is a surname most notably associated with Abram Hoffer, a Canadian psychiatrist known for his work in orthomolecular medicine and niacin therapy for mental illness.
-
D.
Karasek
Karasek is a surname of Central or Eastern European origin, notably borne by Austrian diplomat and politician Franz Karasek.
-
E.
Hart
Hart is a local government district and civil parish area in Hampshire, England, known for its high quality of life and largely rural character.
- 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_69b3455175088190aa79c6e03b86647e |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35083f87c8190a3d3b323e76ab575 |
completed | March 12, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5c740c4a081909a63fb957f2926ae |
completed | March 14, 2026, 8:38 p.m. |
| NEDg | Description generation | batch_69b5c7d04508819087b14c5c86f1e015 |
completed | March 14, 2026, 8:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5c84ccea08190a8e7e8fa93934ea2 |
completed | March 14, 2026, 8:42 p.m. |
Created at: March 12, 2026, 11:08 p.m.