Triple
T21401109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daniel Frank Gerber |
E527913
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Gerber |
E782505
|
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: Gerber | Statement: [Daniel Frank Gerber, familyName, Gerber]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gerber Context triple: [Daniel Frank Gerber, familyName, Gerber]
-
A.
Gerber
Gerber is a small unincorporated rural community located in Tehama County in Northern California.
-
B.
Gerber
chosen
Gerber is a surname most commonly associated with individuals of German or Swiss origin, including various notable figures in entertainment, business, and sports.
-
C.
Gerber Products Company
Gerber Products Company is a leading American baby food and infant nutrition brand known for its wide range of purees, cereals, and snacks for young children.
-
D.
Gerber Group
Gerber Group is a hospitality company best known for its stylish, high-end bars and lounges located in major cities and luxury hotels around the world.
-
E.
Playtex
Playtex is a well-known American brand specializing in bras, shapewear, and other intimate apparel products.
- 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_69e0b520ee3c8190abddbee7e37e834c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b16f7c5081909475eb5bb6177955 |
completed | April 22, 2026, 11:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09bb5161d08190a945896d7418ec90 |
completed | May 17, 2026, 12:57 p.m. |
Created at: April 16, 2026, 5:15 p.m.