Triple
T21002115
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Her Majesty's Secret Service |
E517318
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
HMSS
HMSS is an abbreviation for Her Majesty's Secret Service, the fictional British intelligence agency featured in Ian Fleming's James Bond novels and their adaptations.
|
E1461876
|
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: HMSS | Statement: [Her Majesty's Secret Service, alsoKnownAs, HMSS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HMSS Context triple: [Her Majesty's Secret Service, alsoKnownAs, HMSS]
-
A.
HMHS
HMHS is the registration prefix used to designate British hospital ships, standing for "His/Her Majesty's Hospital Ship."
-
B.
HMS
HMS is a high-momentum magnetic spectrometer used in Hall C experiments at Jefferson Lab to precisely measure the momentum and identity of scattered particles.
-
C.
HMS
HMS is the ship prefix used for vessels of the British Royal Navy, standing for "His (or Her) Majesty's Ship."
-
D.
HMT
HMT is the station code for Hamilton railway station in Scotland’s national rail network.
-
E.
HMT
HMT is the commonly used abbreviation for HM Treasury, the United Kingdom government department responsible for economic and financial policy.
- 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: HMSS Triple: [Her Majesty's Secret Service, alsoKnownAs, HMSS]
Generated description
HMSS is an abbreviation for Her Majesty's Secret Service, the fictional British intelligence agency featured in Ian Fleming's James Bond novels and their adaptations.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: HMSS Target entity description: HMSS is an abbreviation for Her Majesty's Secret Service, the fictional British intelligence agency featured in Ian Fleming's James Bond novels and their adaptations.
-
A.
HMHS
HMHS is the registration prefix used to designate British hospital ships, standing for "His/Her Majesty's Hospital Ship."
-
B.
HMS
HMS is a high-momentum magnetic spectrometer used in Hall C experiments at Jefferson Lab to precisely measure the momentum and identity of scattered particles.
-
C.
HMS
HMS is the ship prefix used for vessels of the British Royal Navy, standing for "His (or Her) Majesty's Ship."
-
D.
HMT
HMT is the station code for Hamilton railway station in Scotland’s national rail network.
-
E.
HMT
HMT is the commonly used abbreviation for HM Treasury, the United Kingdom government department responsible for economic and financial policy.
- 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_69e0b5006e2881909fc2383f841740cc |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc25c1f8819086bdbfd89d390f5f |
completed | April 21, 2026, 4:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a093b563d148190a2c06e8550fa071e |
completed | May 17, 2026, 3:51 a.m. |
| NEDg | Description generation | batch_6a093c1b09708190afd8e748dc4b3888 |
completed | May 17, 2026, 3:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a093c885164819093708d94e6fa6f95 |
completed | May 17, 2026, 3:56 a.m. |
Created at: April 16, 2026, 1:52 p.m.