Triple
T8766183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suri Cruise |
E208344
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Suri |
E562959
|
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: Suri | Statement: [Suri Cruise, givenName, Suri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Suri Context triple: [Suri Cruise, givenName, Suri]
-
A.
Suri
chosen
Suri is a town in the Indian state of West Bengal known as an administrative and commercial center of the Birbhum region.
-
B.
Kiara
Kiara is the lion princess of the Pride Lands and future queen introduced in Disney's "The Lion King II: Simba's Pride."
-
C.
Katisha
Katisha is a formidable, older noblewoman and comic villainess in Gilbert and Sullivan’s operetta "The Mikado," known for her dramatic presence and unrequited love for Nanki-Poo.
-
D.
Tabaiba
Tabaiba is a coastal residential village on the island of Tenerife in Spain’s Canary Islands, known for its seaside setting and proximity to the municipality of El Rosario.
-
E.
Fairuza
Fairuza is a feminine given name most famously borne by American actress Fairuza Balk.
- 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_69ca835df7e08190ac875664cca8f9ca |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5ee97fd0819087ef8fe14b37ae43 |
completed | March 31, 2026, 11:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf519f029081908ad0ae79f35b3e9d |
completed | April 3, 2026, 5:35 a.m. |
Created at: March 30, 2026, 6:41 p.m.