Triple
T11662159
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Martin Vanderhof |
E277148
|
entity |
| Predicate | memberOf |
P10
|
FINISHED |
| Object | Sycamore family |
E923870
|
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: Sycamore family | Statement: [Martin Vanderhof, memberOf, Sycamore family]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sycamore family Context triple: [Martin Vanderhof, memberOf, Sycamore family]
-
A.
the Sycamore family
chosen
The Sycamore family is an eccentric, free-spirited household from the play "You Can't Take It with You," known for their unconventional hobbies, chaotic charm, and joyful disregard for social norms.
-
B.
Juglandaceae
Juglandaceae is a family of flowering trees and shrubs best known for producing nuts such as walnuts and hickories.
-
C.
Salicaceae
Salicaceae is a family of flowering plants that includes willows, poplars, and cottonwoods, many of which are important trees in temperate and boreal ecosystems.
-
D.
Cornaceae
Cornaceae is a family of flowering plants best known for the dogwoods, which are mostly trees and shrubs found in temperate regions.
-
E.
Moraceae
Moraceae is a family of flowering plants in the order Rosales that includes figs, mulberries, and breadfruit, many of which are known for their milky latex and economic importance.
- 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_69d6aafbb3c081908a9cdb4ecb8d981d |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a3d29fdc8190af46b6e2badb1df5 |
completed | April 10, 2026, 7:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ee882dbf2481909ffcae5f80cd494f |
completed | April 26, 2026, 9:48 p.m. |
Created at: April 8, 2026, 9:39 p.m.