Triple
T15622511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Addie Bundren |
E375591
|
entity |
| Predicate | relationshipWithJewel |
P119454
|
FINISHED |
| Object | favored child |
—
|
LITERAL 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: favored child | Statement: [Addie Bundren, relationshipWithJewel, favored child]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipWithJewel Context triple: [Addie Bundren, relationshipWithJewel, favored child]
-
A.
typeOfJewellery
Indicates the specific kind or category of jewellery that an item belongs to.
-
B.
associatedWithRing
Indicates that an entity has a connection or relationship with a specific ring, such as ownership, membership, or involvement.
-
C.
givesJewelsTo
Indicates that one entity transfers or presents jewels to another entity.
-
D.
bondedWith
Indicates that two entities are joined by a strong, enduring connection or attachment, whether emotional, social, or structural.
-
E.
braceletType
Indicates the specific kind or category of bracelet that an entity is associated with.
- F. None of above. chosen
Provenance (4 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_69d85ccf2794819096cda4cbcb02d478 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e9a95f08190b0013ba1428849d3 |
completed | April 16, 2026, 2:51 a.m. |
| PD | Predicate disambiguation | batch_69deda868d4481908f4bce1c64d2902a |
completed | April 15, 2026, 12:23 a.m. |
| PDg | Predicate description generation | batch_69dff7f3016c8190ac68d76e65e07af4 |
completed | April 15, 2026, 8:41 p.m. |
Created at: April 10, 2026, 4:14 a.m.