Triple
T14537316
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nat Faxon |
E341081
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Nathaniel |
E41013
|
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: Nathaniel | Statement: [Nat Faxon, givenName, Nathaniel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nathaniel Context triple: [Nat Faxon, givenName, Nathaniel]
-
A.
Nathaniel
chosen
Nathaniel is a masculine given name of Hebrew origin meaning "gift of God," historically borne by various notable figures in literature, science, and religion.
-
B.
Benjamin
Benjamin is a masculine given name of Hebrew origin meaning "son of the right hand" or "favored son," widely used in many cultures and languages.
-
C.
Benjamin
"Benjamin" is a British comedy-drama film starring Joel Fry, known for its introspective and offbeat portrayal of a young filmmaker navigating love and self-doubt.
-
D.
Benjamin
Benjamin is the given name of Benjamin "Bugsy" Siegel, the notorious American mobster who played a key role in the development of Las Vegas.
-
E.
Benjamin
Benjamin is a surname of Hebrew origin commonly used in many cultures and languages.
- 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_69d822dac79c8190a84a073f3cbaced5 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb1bb90008190947ac0961393446d |
completed | April 14, 2026, 9:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd7a5ae04881909e7eb766fca33066 |
completed | May 8, 2026, 5:53 a.m. |
Created at: April 10, 2026, 1:22 a.m.