Triple
T188830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pierre |
E3672
|
entity |
| Predicate | hasFeminineForm |
P1613
|
FINISHED |
| Object | Piera |
E29219
|
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: Piera | Statement: [Pierre, hasFeminineForm, Piera]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Piera Context triple: [Pierre, hasFeminineForm, Piera]
-
A.
Alva
Alva is the middle name of the famed American inventor Thomas Edison, often used as part of his full name, Thomas Alva Edison.
-
B.
Paolo
Paolo is the Italian form of the given name Paul, commonly used in Italy and other Italian-speaking communities.
-
C.
Guglielmi
Guglielmi is the Italian surname of silent film icon Rudolph Valentino, reflecting his family’s origins.
-
D.
Pietro
chosen
Pietro is the Italian given name equivalent to "Peter," commonly used in Italy and among Italian-speaking communities.
-
E.
Lovari
Lovari are a subgroup of the Romani people, traditionally known as itinerant horse traders and craftsmen with their own distinct dialect and cultural customs.
- 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_69a2548debd48190ae3a06d6e65b53c6 |
completed | Feb. 28, 2026, 2:35 a.m. |
| NER | Named-entity recognition | batch_69a2594abeec8190a48f36817e647fcd |
completed | Feb. 28, 2026, 2:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a362b97500819088c4f547f6ee38d4 |
completed | Feb. 28, 2026, 9:48 p.m. |
Created at: Feb. 28, 2026, 2:41 a.m.