Triple
T19867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chris Sununu |
E395
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Christopher
Christopher is the full given name of Chris Sununu, an American politician who has served as governor of New Hampshire.
|
E16453
|
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: Christopher | Statement: [Chris Sununu, givenName, Christopher]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Christopher Context triple: [Chris Sununu, givenName, Christopher]
-
A.
Robert
Robert is a common masculine given name of Germanic origin, widely used in English-speaking countries.
-
B.
Stephen
Stephen is the middle name of Harold Stephen Black, an American electrical engineer known for inventing the negative feedback amplifier.
-
C.
James
James is a common masculine given name of Hebrew origin meaning "supplanter," widely used in English-speaking countries.
-
D.
Martin
Martin is the given name of Martin Luther King Jr., the prominent American civil rights leader and Baptist minister who advocated nonviolent resistance to racial segregation.
-
E.
Andrew
Andrew is a masculine given name of Greek origin meaning "manly" or "brave," widely used in English-speaking countries and beyond.
- 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: Christopher Triple: [Chris Sununu, givenName, Christopher]
Generated description
Christopher is the full given name of Chris Sununu, an American politician who has served as governor of New Hampshire.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Christopher Target entity description: Christopher is the full given name of Chris Sununu, an American politician who has served as governor of New Hampshire.
-
A.
Robert
Robert is a common masculine given name of Germanic origin, widely used in English-speaking countries.
-
B.
Stephen
Stephen is the middle name of Harold Stephen Black, an American electrical engineer known for inventing the negative feedback amplifier.
-
C.
James
James is a common masculine given name of Hebrew origin meaning "supplanter," widely used in English-speaking countries.
-
D.
Martin
Martin is the given name of Martin Luther King Jr., the prominent American civil rights leader and Baptist minister who advocated nonviolent resistance to racial segregation.
-
E.
Andrew
Andrew is a masculine given name of Greek origin meaning "manly" or "brave," widely used in English-speaking countries and beyond.
- 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_69a240778d288190815c0052ebbbcc91 |
completed | Feb. 28, 2026, 1:10 a.m. |
| NER | Named-entity recognition | batch_69a24669427481908b3369f090ea8edc |
completed | Feb. 28, 2026, 1:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2b4b495c4819084ed1b661f1d0a24 |
completed | Feb. 28, 2026, 9:26 a.m. |
| NEDg | Description generation | batch_69a2b5c243e0819087bb4342c5a65eec |
completed | Feb. 28, 2026, 9:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a2b6498fcc819089fcc02806e8f975 |
completed | Feb. 28, 2026, 9:32 a.m. |
Created at: Feb. 28, 2026, 1:14 a.m.