Triple
T25663922
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baron Giddens |
E643459
|
entity |
| Predicate | honoursOrRecognitionsOf |
P45801
|
FINISHED |
| Object | Anthony Giddens |
—
|
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: Anthony Giddens | Statement: [Baron Giddens, honoursOrRecognitionsOf, Anthony Giddens]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: honoursOrRecognitionsOf Context triple: [Baron Giddens, honoursOrRecognitionsOf, Anthony Giddens]
-
A.
honoursAchievement
Indicates that one entity formally recognizes and celebrates the notable accomplishment or success of another entity.
-
B.
notableAwardRecognition
chosen
Indicates that an entity has received or been formally recognized with a notable award or honor.
-
C.
hallOfFameOrRecognition
Indicates a relationship where an entity has been formally honored, inducted, or recognized in a hall of fame or comparable recognition context.
-
D.
includesHonoraryAwardsFor
Indicates that one entity contains or lists honorary awards that have been granted to another entity.
-
E.
nameHonors
Indicates that a name is given to honor, commemorate, or pay tribute to a particular entity.
- 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_69e77e7e45648190a068ed3faa8016ea |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f5faf125388190bf20dd812f1a2632 |
completed | May 2, 2026, 1:24 p.m. |
| PD | Predicate disambiguation | batch_69f4807f8680819098a524158d049c63 |
completed | May 1, 2026, 10:29 a.m. |
Created at: April 21, 2026, 6:59 p.m.