Triple
T30998628
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kevin Short |
E789872
|
entity |
| Predicate | awardReceived |
P11
|
FINISHED |
| Object |
New Zealand Armed Forces Award
The New Zealand Armed Forces Award is a long service military decoration presented to members of the New Zealand Defence Force in recognition of extended, efficient service.
|
E1948031
|
NE 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: New Zealand Armed Forces Award | Statement: [Kevin Short, awardReceived, New Zealand Armed Forces Award]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: New Zealand Armed Forces Award Triple: [Kevin Short, awardReceived, New Zealand Armed Forces Award]
Generated description
The New Zealand Armed Forces Award is a long service military decoration presented to members of the New Zealand Defence Force in recognition of extended, efficient service.
Provenance (5 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_69f224c65a348190baaed1c01a29900c |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6940a03b88190b923c60b5667efed |
completed | May 3, 2026, 12:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a293899f83c819088cfec0b54c5c350 |
completed | June 10, 2026, 10:12 a.m. |
| NEDg | Description generation | batch_6a293ff3e428819096e142d6ae800e54 |
completed | June 10, 2026, 10:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a29412227a881908677e87397eea377 |
completed | June 10, 2026, 10:49 a.m. |
Created at: April 29, 2026, 8:56 p.m.