Triple
T24671206
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cincinnati Bengals Ring of Honor |
E610837
|
entity |
| Predicate | firstClassInducted |
P24265
|
FINISHED |
| Object | 2021 |
—
|
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: 2021 | Statement: [Cincinnati Bengals Ring of Honor, firstClassInducted, 2021]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstClassInducted Context triple: [Cincinnati Bengals Ring of Honor, firstClassInducted, 2021]
-
A.
inductedInto
Indicates that an entity has been formally admitted or entered into a group, organization, hall of fame, or similar body, typically as an honor or official recognition.
-
B.
firstInductions
chosen
Indicates that the subject entity represents the earliest or initial instances in a series of inductions associated with the object entity.
-
C.
inductedWith
Indicates that an entity is formally brought into a group, organization, or honor at the same time and as part of the same induction event as another entity.
-
D.
premierClassOf
Indicates that one entity is the top or highest-level class or category to which another entity belongs.
-
E.
firstClassAwardedTo
Indicates that a first-class distinction, honor, or top-level award is given to a particular recipient.
- 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_69e2c4d505cc8190981881df06c0bf52 |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f453035f508190be83a3d521723acf |
completed | May 1, 2026, 7:15 a.m. |
| PD | Predicate disambiguation | batch_69f44d6ef33081908f5d36ba1ae5f473 |
completed | May 1, 2026, 6:51 a.m. |
Created at: April 18, 2026, 2:42 a.m.