Triple
T11152024
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rosie Cotton |
E263808
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Primrose Gardner |
E263813
|
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: Primrose Gardner | Statement: [Rosie Cotton, child, Primrose Gardner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Primrose Gardner Context triple: [Rosie Cotton, child, Primrose Gardner]
-
A.
Grace Prendergast
Grace Prendergast is an elite New Zealand rower and Olympic champion renowned for her success in women's pair and team boat events on the world stage.
-
B.
Daisy Gardner
chosen
Daisy Gardner is a hobbit of the Shire, one of the daughters of Samwise Gamgee and Rosie Cotton in J.R.R. Tolkien’s Middle-earth legendarium.
-
C.
Rose Gardner
Rose Gardner is the daughter of Samwise Gamgee in J.R.R. Tolkien’s Middle-earth legendarium, appearing in the post–War of the Ring history of the Shire.
-
D.
Jacintha Gardner
Jacintha Gardner is the daughter of American entrepreneur and motivational speaker Chris Gardner, whose life story inspired the film "The Pursuit of Happyness."
-
E.
Emma Pritchard
Emma Pritchard is an actress known for her role in the romantic comedy film "The Holiday."
- 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_69d6aa9ccddc8190868998c8b7beb060 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8719e74819095413abc6c79296c |
completed | April 9, 2026, 5:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e496c152a081909c6ad8b2a6e41927 |
completed | April 19, 2026, 8:48 a.m. |
Created at: April 8, 2026, 9:28 p.m.