Triple
T16521480
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dean Cox |
E401327
|
entity |
| Predicate | receivedAllAustralianHonourInYear |
P123877
|
FINISHED |
| Object | 2005 |
—
|
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: 2005 | Statement: [Dean Cox, receivedAllAustralianHonourInYear, 2005]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: receivedAllAustralianHonourInYear Context triple: [Dean Cox, receivedAllAustralianHonourInYear, 2005]
-
A.
hasVictoriaCrossRecipient
Indicates that an entity has, is associated with, or includes at least one recipient of the Victoria Cross.
-
B.
yearHonored
Indicates the specific year in which an entity received an honor, award, or formal recognition.
-
C.
CliveChurchillMedalYear
Indicates the year in which a specified Clive Churchill Medal was awarded.
-
D.
awardForYear
Indicates that an award is associated with, or was given in, a specific year.
-
E.
wasKnightedAt
Indicates that a knighthood was formally conferred upon someone at a specific place or event.
- F. None of above. chosen
Provenance (4 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_69d883838abc8190bc79cb2d41733ce2 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e804e388190b684bde2c82ab770 |
completed | April 18, 2026, 7:10 a.m. |
| PD | Predicate disambiguation | batch_69e296995d388190b88ebe189dce890d |
completed | April 17, 2026, 8:22 p.m. |
| PDg | Predicate description generation | batch_69e2d7f97e548190a474691a152bd8e8 |
completed | April 18, 2026, 1:01 a.m. |
Created at: April 10, 2026, 5:14 a.m.