Triple
T17327844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bess |
E420732
|
entity |
| Predicate | hasNickname |
P39
|
FINISHED |
| Object | Goldilocks |
E906979
|
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 | Statement: [Bess, hasNickname, Goldilocks]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Goldilocks Context triple: [Bess, hasNickname, Goldilocks]
-
A.
Goldilocks
chosen
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.
-
B.
Goldilocks Gamgee
Goldilocks Gamgee is a hobbit of the Shire from J.R.R. Tolkien’s legendarium, known as one of Samwise Gamgee and Rosie Cotton’s daughters in the post–War of the Ring era.
-
C.
The Three Bears
The Three Bears is a classic English fairy tale about a family of three bears whose home is visited by the curious girl Goldilocks.
-
D.
Elsie
Elsie is a fictional character from the post-apocalyptic virtual reality game "After the Fall."
-
E.
Elsie
Elsie is the internal codename Apple used for the Macintosh LC personal computer during its development.
- 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_69d889d3adc881909319f1edb8d2a956 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e439d42154819093a240f677a63145 |
completed | April 19, 2026, 2:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a018c4dff088190833122dbe2981045 |
completed | May 11, 2026, 7:59 a.m. |
Created at: April 10, 2026, 5:43 a.m.