Triple
T2228068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kip Thorne |
E48699
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Kip
Kip is the given name of Kip Thorne, the Nobel Prize–winning American theoretical physicist known for his work on gravitational physics and astrophysics.
|
E248929
|
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: Kip | Statement: [Kip Thorne, givenName, Kip]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kip Context triple: [Kip Thorne, givenName, Kip]
-
A.
Kip
Kip is a young Sikh British-Indian army sapper in Michael Ondaatje’s novel "The English Patient," whose expertise in bomb disposal and complex relationship with the other characters explore themes of war, identity, and colonialism.
-
B.
Kai
Kai is the eldest granddaughter of former U.S. President Donald Trump and the daughter of Donald Trump Jr.
-
C.
Kiko
Kiko is the young, albino giant ape who serves as the gentle offspring and companion of King Kong in the 1933 film "Son of Kong."
-
D.
Kenneth
Kenneth is the formal given name of American country music singer, songwriter, and actor Kenny Rogers.
-
E.
Kipper Jones
Kipper Jones is an American R&B singer-songwriter and producer known for crafting hits for artists such as Brandy, Vanessa Williams, and Tevin Campbell.
- 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: Kip Triple: [Kip Thorne, givenName, Kip]
Generated description
Kip is the given name of Kip Thorne, the Nobel Prize–winning American theoretical physicist known for his work on gravitational physics and astrophysics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kip Target entity description: Kip is the given name of Kip Thorne, the Nobel Prize–winning American theoretical physicist known for his work on gravitational physics and astrophysics.
-
A.
Kip
Kip is a young Sikh British-Indian army sapper in Michael Ondaatje’s novel "The English Patient," whose expertise in bomb disposal and complex relationship with the other characters explore themes of war, identity, and colonialism.
-
B.
Kai
Kai is the eldest granddaughter of former U.S. President Donald Trump and the daughter of Donald Trump Jr.
-
C.
Kiko
Kiko is the young, albino giant ape who serves as the gentle offspring and companion of King Kong in the 1933 film "Son of Kong."
-
D.
Kenneth
Kenneth is the formal given name of American country music singer, songwriter, and actor Kenny Rogers.
-
E.
Kipper Jones
Kipper Jones is an American R&B singer-songwriter and producer known for crafting hits for artists such as Brandy, Vanessa Williams, and Tevin Campbell.
- 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_69a88aa51b388190949868ec9766e587 |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc0670ce48190b98814064bff0517 |
completed | March 7, 2026, 6:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae6afe4d1481908c6c27e889303892 |
completed | March 9, 2026, 6:38 a.m. |
| NEDg | Description generation | batch_69ae6c4ab24881909d47076c7f6ad1d9 |
completed | March 9, 2026, 6:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae6c9ba31081909d2c51018a66c46d |
completed | March 9, 2026, 6:45 a.m. |
Created at: March 4, 2026, 7:47 p.m.