Triple
T14905577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LaMichael James |
E360120
|
entity |
| Predicate | positionInCollege |
P7105
|
FINISHED |
| Object | running back |
—
|
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: running back | Statement: [LaMichael James, positionInCollege, running back]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionInCollege Context triple: [LaMichael James, positionInCollege, running back]
-
A.
collegePosition
Indicates the role, title, or position an individual holds within a college or university.
-
B.
stateOfCollege
Indicates the condition or status that a college is currently in (e.g., operational, closed, accredited).
-
C.
positionPlayedInCollege
chosen
Indicates the specific playing position an individual held on a sports team during their college career.
-
D.
positionOnEducation
Indicates a stance, opinion, or policy view that an entity holds regarding education-related issues.
-
E.
collegiateStatus
Indicates the relationship between an entity and a college or university, specifying its status or standing within that academic institution (e.g., enrolled, graduated, affiliated).
- 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_69d827980cbc8190a0c569ae3940a1d9 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69ded60cd5588190b1efecc2b220da69 |
completed | April 15, 2026, 12:04 a.m. |
| PD | Predicate disambiguation | batch_69de9a4a14a88190951bb8f4c60bd37b |
completed | April 14, 2026, 7:49 p.m. |
Created at: April 10, 2026, 2:12 a.m.