Triple
T14208825
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jordana Spiro |
E352170
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Spiro |
E147339
|
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: Spiro | Statement: [Jordana Spiro, familyName, Spiro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Spiro Context triple: [Jordana Spiro, familyName, Spiro]
-
A.
Spiro
chosen
Spiro is a masculine given name most notably borne by Spiro Agnew, the 39th vice president of the United States.
-
B.
Spiner
Spiner is the surname of American actor Brent Spiner, best known for portraying the android Data in the Star Trek franchise.
-
C.
Spio
Spio is a figure from Greek mythology, traditionally known as one of the Nereids, the sea nymph daughters of Nereus and Doris.
-
D.
Spinelli
Spinelli is an Italian surname most notably associated with Altiero Spinelli, a key architect of European integration and federalism.
-
E.
Spyri
Spyri is the surname of Johanna Spyri, the Swiss author best known for creating the classic children's book character Heidi.
- 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_69d8278a06e481908b5d6af0a8afe737 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61fa8d24819092a8ec5d34c1c799 |
completed | April 14, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd19557f908190abb3dc116676f215 |
completed | May 7, 2026, 10:59 p.m. |
Created at: April 10, 2026, 1:05 a.m.