Triple
T36964893
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lily Castellanos |
E914403
|
entity |
| Predicate | functionInSTEM |
P58274
|
FINISHED |
| Object | STEM Core |
—
|
NE NERFINISHED |
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: STEM Core | Statement: [Lily Castellanos, functionInSTEM, STEM Core]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: functionInSTEM Context triple: [Lily Castellanos, functionInSTEM, STEM Core]
-
A.
functionInCollege
Indicates that one entity serves a particular role or function within a college in relation to the other entity.
-
B.
teachingFunction
chosen
Indicates that one entity serves in a teaching role or performs instructional duties toward others.
-
C.
supportsSTEMLearning
Indicates that one entity provides resources, opportunities, or conditions that facilitate or enhance another entity’s learning in science, technology, engineering, and mathematics (STEM).
-
D.
functionInPractice
Indicates that an entity serves a particular role or performs a specific function in actual use or real-world practice.
-
E.
functionHypothesis
Indicates that an entity is proposed or assumed to serve as a function or functional explanation for another entity or phenomenon.
- 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_69f76e8c498c8190b2842db80aea8b3b |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fa0a7b00948190a257273d9968c5d7 |
completed | May 5, 2026, 3:19 p.m. |
| PD | Predicate disambiguation | batch_69f9fec9c9488190ae2a349651a02782 |
completed | May 5, 2026, 2:29 p.m. |
Created at: May 3, 2026, 4:14 p.m.