Triple
T11288059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Merry Gardner |
E267249
|
entity |
| Predicate | hasSibling |
P363
|
FINISHED |
| Object | Goldilocks Gardner |
E263811
|
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: Goldilocks Gardner | Statement: [Merry Gardner, hasSibling, Goldilocks Gardner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Goldilocks Gardner Context triple: [Merry Gardner, hasSibling, Goldilocks Gardner]
-
A.
Goldilocks Gardner
chosen
Goldilocks Gardner is the daughter of Samwise Gamgee in J.R.R. Tolkien’s Middle-earth legendarium.
-
B.
Gardner
Gardner is a common English surname borne by numerous notable individuals across fields such as literature, science, and the arts.
-
C.
Goldilocks
Goldilocks is a fictional girl best known from the fairy tale "Goldilocks and the Three Bears," in which she enters the home of three bears and samples their porridge, chairs, and beds.
-
D.
Beatrice Bentley
Beatrice Bentley was an actress known for her role in the early Technicolor silent film "The Toll of the Sea."
-
E.
Charlotte Wilder
Charlotte Wilder was an American poet and academic, known both for her own literary work and as the sister of playwright and novelist Thornton Wilder.
- 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_69d6aac993a08190a6f36445ebaf9a43 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e986b0f08190a414749eaa7f1a5d |
completed | April 9, 2026, 6:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e50a246a3c81909f4f1d32a1b1efeb |
completed | April 19, 2026, 5 p.m. |
Created at: April 8, 2026, 9:32 p.m.