Triple
T20095178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trevor Huddleston |
E496380
|
entity |
| Predicate | honorificSuffix |
P341
|
FINISHED |
| Object |
CR
CR is a post-nominal religious title indicating membership in the Anglican religious order known as the Community of the Resurrection.
|
E1411966
|
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: CR | Statement: [Trevor Huddleston, honorificSuffix, CR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CR Context triple: [Trevor Huddleston, honorificSuffix, CR]
-
A.
CR
CR was the stock ticker symbol for Conrail, a major U.S. freight railroad company formed from bankrupt Northeastern railroads and later acquired by CSX and Norfolk Southern.
-
B.
CR
CR is the commonly used abbreviation for Consumer Reports, a nonprofit organization known for its independent product testing and consumer advocacy.
-
C.
CR
CR is the two-letter ISO 3166-1 alpha-2 country code representing Costa Rica.
-
D.
CR
CR is the vehicle registration code used on license plates for the Italian city and province of Cremona.
-
E.
CR
CR is the abbreviation for Companhia Real dos Caminhos de Ferro Portugueses, the former royal railway company that operated much of Portugal’s early rail network.
- 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: CR Triple: [Trevor Huddleston, honorificSuffix, CR]
Generated description
CR is a post-nominal religious title indicating membership in the Anglican religious order known as the Community of the Resurrection.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CR Target entity description: CR is a post-nominal religious title indicating membership in the Anglican religious order known as the Community of the Resurrection.
-
A.
CR
CR is the two-letter ISO 3166-1 alpha-2 country code representing Costa Rica.
-
B.
CR
CR was the stock ticker symbol for Conrail, a major U.S. freight railroad company formed from bankrupt Northeastern railroads and later acquired by CSX and Norfolk Southern.
-
C.
CR
CR is the commonly used abbreviation for Consumer Reports, a nonprofit organization known for its independent product testing and consumer advocacy.
-
D.
CR
CR is the vehicle registration code used on license plates for the Italian city and province of Cremona.
-
E.
CR
CR is the abbreviation for Companhia Real dos Caminhos de Ferro Portugueses, the former royal railway company that operated much of Portugal’s early rail network.
- 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_69da626eee3881909f3454986d4a6511 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6666b891c8190b4e4a60b73728771 |
completed | April 20, 2026, 5:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a082709bec8819085418d3d93108d81 |
completed | May 16, 2026, 8:12 a.m. |
| NEDg | Description generation | batch_6a08287484c4819089414c2780377ba7 |
completed | May 16, 2026, 8:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a082a4275e48190b6643e43399d97af |
completed | May 16, 2026, 8:26 a.m. |
Created at: April 11, 2026, 11:24 p.m.