Triple
T5512853
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jean Zay |
E144606
|
entity |
| Predicate | hasSurname |
P18
|
FINISHED |
| Object | Zay |
E144606
|
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: Zay | Statement: [Jean Zay, hasSurname, Zay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zay Context triple: [Jean Zay, hasSurname, Zay]
-
A.
Zay
chosen
Zay is the surname of Jean Zay, a notable French politician and Minister of National Education and Fine Arts during the 1930s.
-
B.
Zaya
Zaya is a central human character in the fantasy film "Gods of Egypt," known for her devotion to Bek and her pivotal role in motivating the gods' struggle against Set.
-
C.
Zaya Wade
Zaya Wade is an American transgender youth and LGBTQ+ advocate known publicly as the daughter of former NBA star Dwyane Wade.
-
D.
Zaza
Zaza is an Iranian ethnic group primarily inhabiting eastern Turkey, known for speaking the Zazaki language and maintaining distinct cultural traditions.
-
E.
Zane
Zane is a masculine given name of various origins, often considered a variant of John or a surname-turned-first-name in English-speaking countries.
- 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_69c008f77ff88190b0cd50ca207295d1 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f599d0881909ce86fcc45d4d920 |
completed | March 22, 2026, 4:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04cc0735881909b7ea6909570a750 |
completed | March 22, 2026, 8:10 p.m. |
Created at: March 22, 2026, 3:33 p.m.