Triple
T16538369
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lourdes Osmeña |
E401752
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Lourdes |
E903717
|
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: Lourdes | Statement: [Lourdes Osmeña, givenName, Lourdes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lourdes Context triple: [Lourdes Osmeña, givenName, Lourdes]
-
A.
Lourdes
Lourdes is an 1894 novel by Émile Zola that critically explores religious faith, pilgrimage, and alleged miracles surrounding the famous Marian shrine in southwestern France.
-
B.
Lourdes
Lourdes is a town in southwestern France renowned as a major Catholic pilgrimage site associated with Marian apparitions and reputed healing waters.
-
C.
Lourdes
Lourdes is a member of the 2nd Massachusetts Militia Regiment, a historic military unit associated with the U.S. state of Massachusetts.
-
D.
Lourdes
chosen
Lourdes is a given name most notably associated with the Cuban baseball player and coach Lourdes Gourriel.
-
E.
Lourdes
Lourdes is a teenage witch character in the 2020 supernatural horror film "The Craft: Legacy," serving as one of the members of the new coven.
- 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_69d88384bc30819084229e7dcdc39a41 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3455a98b481909e489ea7bd01570a |
completed | April 18, 2026, 8:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0067aafee48190a0652fb4fac04a5b |
completed | May 10, 2026, 11:10 a.m. |
Created at: April 10, 2026, 5:15 a.m.