Triple
T8513917
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shiloh Nouvel Jolie-Pitt |
E201524
|
entity |
| Predicate | middleName |
P143
|
FINISHED |
| Object | Nouvel |
E676832
|
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: Nouvel | Statement: [Shiloh Nouvel Jolie-Pitt, middleName, Nouvel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nouvel Context triple: [Shiloh Nouvel Jolie-Pitt, middleName, Nouvel]
-
A.
Nouvel
chosen
Nouvel is a French surname most prominently associated with Jean Nouvel, the renowned contemporary architect known for his innovative and experimental building designs worldwide.
-
B.
Noovo
Noovo is a Canadian French-language television network offering a mix of entertainment, reality shows, and local programming.
-
C.
Nye
Nye is the surname of Bill Nye, the American science educator, mechanical engineer, and television presenter widely known as "Bill Nye the Science Guy."
-
D.
Nutun
Nutun was a prominent Indian film actress celebrated for her nuanced performances and strong female roles in classic Hindi cinema.
-
E.
NOVN
NOVN is the stock ticker symbol for Novartis, a major Swiss multinational pharmaceutical company known for developing and manufacturing innovative medicines.
- 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_69ca8320e5748190ac2c585a0bba8193 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe60cdfcc819081a9be1229378ba0 |
completed | March 31, 2026, 3:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce4e56ef088190b4f938486bbb7962 |
completed | April 2, 2026, 11:09 a.m. |
Created at: March 30, 2026, 6:15 p.m.