Triple
T9457143
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leo Falcam |
E228044
|
entity |
| Predicate | predecessor |
P97
|
FINISHED |
| Object | Jacob Nena |
E228043
|
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: Jacob Nena | Statement: [Leo Falcam, predecessor, Jacob Nena]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jacob Nena Context triple: [Leo Falcam, predecessor, Jacob Nena]
-
A.
Jacob Nena
chosen
Jacob Nena was a Micronesian politician who served as the third President of the Federated States of Micronesia from 1997 to 1999.
-
B.
Ray Nazarro
Ray Nazarro was an American film director best known for his prolific work on low-budget Westerns and action films during the 1940s and 1950s.
-
C.
Daron Nefcy
Daron Nefcy is an American animator, writer, and producer best known for creating the Disney XD animated series "Star vs. the Forces of Evil," making her one of the first women to create an animated show for Disney Television Animation.
-
D.
Lucas Neff
Lucas Neff is an American actor best known for starring as the lead character Jimmy Chance in the sitcom "Raising Hope."
-
E.
Alex Lanipekun
Alex Lanipekun is a British actor known for his work in television, film, and theatre, including roles in series such as "Spooks" (MI-5).
- 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_69ca843b123881909b0e60028475d12d |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7f90cf648190ab238ba6b4f03c4f |
completed | April 1, 2026, 8:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d12ce01b548190a30f6cc7f3084b06 |
completed | April 4, 2026, 3:23 p.m. |
Created at: March 30, 2026, 7:52 p.m.