Triple
T20048820
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal Highland Fusiliers |
E499135
|
entity |
| Predicate | hasNickname |
P39
|
FINISHED |
| Object |
The RHF
The RHF is a historic infantry regiment of the British Army, renowned for its Scottish heritage and distinguished service in numerous conflicts.
|
E1409338
|
NE FINISHED |
How this triple was built (4 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: The RHF | Statement: [Royal Highland Fusiliers, hasNickname, The RHF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The RHF Context triple: [Royal Highland Fusiliers, hasNickname, The RHF]
-
A.
RHC
RHC is the abbreviated name for the Royal Hashemite Court, the official administrative and royal household body serving the Jordanian monarchy.
-
B.
RHL
RHL is the National Rail station code for Rhyl railway station in Denbighshire, Wales.
-
C.
In the House
In the House is a 1990s American sitcom starring LL Cool J as a former football player who takes in a single mother and her children to help pay his bills.
-
D.
Les Républicains
Les Républicains is a major center-right political party in France that emerged as the successor to the Union for a Popular Movement (UMP).
-
E.
HLF
HLF is the stock ticker symbol for Herbalife, a global multi-level marketing company that sells nutritional supplements and personal care products.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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: The RHF Triple: [Royal Highland Fusiliers, hasNickname, The RHF]
Generated description
The RHF is a historic infantry regiment of the British Army, renowned for its Scottish heritage and distinguished service in numerous conflicts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The RHF Target entity description: The RHF is a historic infantry regiment of the British Army, renowned for its Scottish heritage and distinguished service in numerous conflicts.
-
A.
RHC
RHC is the abbreviated name for the Royal Hashemite Court, the official administrative and royal household body serving the Jordanian monarchy.
-
B.
RHL
RHL is the National Rail station code for Rhyl railway station in Denbighshire, Wales.
-
C.
In the House
In the House is a 1990s American sitcom starring LL Cool J as a former football player who takes in a single mother and her children to help pay his bills.
-
D.
Les Républicains
Les Républicains is a major center-right political party in France that emerged as the successor to the Union for a Popular Movement (UMP).
-
E.
HLF
HLF is the stock ticker symbol for Herbalife, a global multi-level marketing company that sells nutritional supplements and personal care products.
- F. None of above. chosen
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_69da6276bcf48190aabbf279192a5fb4 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6632c085081908710cbc939ac9971 |
completed | April 20, 2026, 5:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a081605fd748190a44be56169074887 |
completed | May 16, 2026, 7 a.m. |
| NEDg | Description generation | batch_6a0818447d288190812c4e5f62436851 |
completed | May 16, 2026, 7:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0818b9ea88819091993dfcdfec0793 |
completed | May 16, 2026, 7:11 a.m. |
Created at: April 11, 2026, 3:37 p.m.