Triple
T2246442
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naveen Andrews |
E49514
|
entity |
| Predicate | role |
P268
|
FINISHED |
| Object | Kip |
E48823
|
NE FINISHED |
How this triple was built (2 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: [Naveen Andrews, role, Kip]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kip Context triple: [Naveen Andrews, role, Kip]
-
A.
Kip
chosen
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.
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.
-
C.
Kai
Kai is the eldest granddaughter of former U.S. President Donald Trump and the daughter of Donald Trump Jr.
-
D.
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."
-
E.
Kenneth
Kenneth is the formal given name of American country music singer, songwriter, and actor Kenny Rogers.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a88aa979788190ad6500f1d8eee2fc |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc0ec46b08190ae12de8b255eb71d |
completed | March 7, 2026, 6:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae71c1edd081909acbb8b1915ce0d6 |
completed | March 9, 2026, 7:07 a.m. |
Created at: March 4, 2026, 7:47 p.m.