Triple
T23930115
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bella Baxter |
E602470
|
entity |
| Predicate | initialMindStateComparedTo |
P92720
|
FINISHED |
| Object | infant |
—
|
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: infant | Statement: [Bella Baxter, initialMindStateComparedTo, infant]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: initialMindStateComparedTo Context triple: [Bella Baxter, initialMindStateComparedTo, infant]
-
A.
initialAttitude
Indicates the starting stance, feeling, or disposition one entity holds toward another or toward a situation before any interaction or change occurs.
-
B.
initialStatus
Indicates the original or starting state assigned to an entity before any changes or updates occur.
-
C.
initialBelief
chosen
Indicates the belief or assumption an entity holds at the starting point of a process, scenario, or reasoning sequence.
-
D.
initiallyContrastsWith
Indicates that one entity is first presented or perceived in opposition or contrast to another entity at the beginning of a sequence, process, or context.
-
E.
thoughtStatusBeforeRediscovery
Indicates the status or condition of a thought or idea as it existed prior to being rediscovered.
- F. None of above.
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_69e2953b928c819095395fa87baca583 |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f1cf9b4ae88190b3f4fee69d24bc33 |
completed | April 29, 2026, 9:30 a.m. |
| PD | Predicate disambiguation | batch_69f16151ebdc819086e9e1d7cc1f4f3c |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:56 p.m.