Triple
T14588654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prince Phillip |
E342385
|
entity |
| Predicate | father |
P120
|
FINISHED |
| Object | King Hubert |
E164283
|
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: King Hubert | Statement: [Prince Phillip, father, King Hubert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: King Hubert Context triple: [Prince Phillip, father, King Hubert]
-
A.
Hubert
chosen
Hubert is a masculine given name of Germanic origin meaning "bright heart" or "shining intellect," historically borne by saints, nobles, and notable public figures.
-
B.
Henri
Henri is a given name most famously associated with the French artist Henri Matisse.
-
C.
Herbert Von King
Herbert Von King was a prominent Brooklyn community leader and activist whose contributions to the Bedford-Stuyvesant neighborhood led to a major local park being named in his honor.
-
D.
Henry Nicholas III
Henry Nicholas III is an American entrepreneur and philanthropist best known as the co-founder and former CEO of semiconductor company Broadcom.
-
E.
Hubertus
Hubertus is a masculine given name of Germanic origin, commonly used in various European countries.
- 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_69d822ddc0f081909cd8163c7de298cd |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb4237d88819097f3f9a40f5be152 |
completed | April 14, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd94c1768881909eebb0dae15ac964 |
completed | May 8, 2026, 7:46 a.m. |
Created at: April 10, 2026, 1:24 a.m.