Triple
T38293738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mario Cristobal |
E1022433
|
entity |
| Predicate | isAFormer |
P146400
|
FINISHED |
| Object | college football offensive lineman |
—
|
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: college football offensive lineman | Statement: [Mario Cristobal, isAFormer, college football offensive lineman]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isAFormer Context triple: [Mario Cristobal, isAFormer, college football offensive lineman]
-
A.
holderIsFormer
Indicates that the referenced holder previously had, but no longer has, the specified role, position, or status.
-
B.
isFormerEntity
Indicates that an entity previously held a particular status, role, or identity but no longer does so.
-
C.
isFormerInternational
Indicates that an entity previously held an international role or status but no longer does so.
-
D.
formerName
Indicates that an entity was previously known by a different name in the past.
-
E.
former
chosen
Indicates that an entity previously held a role, status, or relationship but no longer does so in the present.
- 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_69f76df190f081908d5aa02c8a9286d0 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fccbd826708190b5fab12c4236299a |
completed | May 7, 2026, 5:28 p.m. |
| PD | Predicate disambiguation | batch_69fcc58838e08190b8fa54aa5c165f2d |
completed | May 7, 2026, 5:02 p.m. |
Created at: May 3, 2026, 4:30 p.m.