Triple
T14433801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Josep Lluís Sert |
E357903
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Sert |
E355239
|
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: Sert | Statement: [Josep Lluís Sert, familyName, Sert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sert Context triple: [Josep Lluís Sert, familyName, Sert]
-
A.
Sert
chosen
Sert is the surname of Josep Lluís Sert, a prominent 20th-century Spanish architect known for his modernist designs and leadership at Harvard’s Graduate School of Design.
-
B.
Serto
Serto is a cursive form of the Syriac alphabet historically used for writing the Syriac language and related Christian liturgical texts.
-
C.
Serting
Serting is a state constituency in Malaysia that is represented in the Negeri Sembilan State Legislative Assembly.
-
D.
Serber
Serber is a surname most notably associated with American physicist Robert Serber, who contributed to the Manhattan Project.
-
E.
Seryl
Seryl is a feminine given name most notably borne by Seryl Kushner, a New York real estate figure and mother of businessman Charles Kushner.
- 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_69d8279402a88190821ffa39ae15bccf |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de91471a648190adb7b283a6a85c3e |
completed | April 14, 2026, 7:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd5bd5b1d08190a89e6f004a94b361 |
completed | May 8, 2026, 3:43 a.m. |
Created at: April 10, 2026, 1:18 a.m.