Triple
T16475635
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | B. Traven |
E400179
|
entity |
| Predicate | hasPseudonym |
P3799
|
FINISHED |
| Object |
Hal Croves
Hal Croves is a pseudonym used by the mysterious 20th-century novelist B. Traven, whose true identity has long been the subject of speculation.
|
E1217968
|
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: Hal Croves | Statement: [B. Traven, hasPseudonym, Hal Croves]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hal Croves Context triple: [B. Traven, hasPseudonym, Hal Croves]
-
A.
Eric Crozier
Eric Crozier was a British theatrical director, producer, and writer best known for his close collaboration with composer Benjamin Britten on several operas.
-
B.
Ian Crocker
Ian Crocker is an American former competitive swimmer and multiple Olympic gold medalist known for his world records in butterfly events.
-
C.
Ian Crafford
Ian Crafford is a film editor best known for his work on the family fantasy movie "The Indian in the Cupboard."
-
D.
Ian Crafford
Ian Crafford is a film editor best known for his work on the James Bond movie "Never Say Never Again."
-
E.
Tim Holbrook
Tim Holbrook is an American legal scholar known for his work in intellectual property and patent law.
- 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: Hal Croves Triple: [B. Traven, hasPseudonym, Hal Croves]
Generated description
Hal Croves is a pseudonym used by the mysterious 20th-century novelist B. Traven, whose true identity has long been the subject of speculation.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hal Croves Target entity description: Hal Croves is a pseudonym used by the mysterious 20th-century novelist B. Traven, whose true identity has long been the subject of speculation.
-
A.
Eric Crozier
Eric Crozier was a British theatrical director, producer, and writer best known for his close collaboration with composer Benjamin Britten on several operas.
-
B.
Ian Crocker
Ian Crocker is an American former competitive swimmer and multiple Olympic gold medalist known for his world records in butterfly events.
-
C.
Ian Crafford
Ian Crafford is a film editor best known for his work on the James Bond movie "Never Say Never Again."
-
D.
Ian Crafford
Ian Crafford is a film editor best known for his work on the family fantasy movie "The Indian in the Cupboard."
-
E.
Tim Holbrook
Tim Holbrook is an American legal scholar known for his work in intellectual property and patent law.
- 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_69d883813098819084f5409539723b59 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32dd43cf88190881a5cbc80da1490 |
completed | April 18, 2026, 7:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a006078da4c8190ba510d92b503e993 |
completed | May 10, 2026, 10:39 a.m. |
| NEDg | Description generation | batch_6a0061a6e1e88190a5efe0430db0bd9b |
completed | May 10, 2026, 10:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00627908988190803707069872e4c5 |
completed | May 10, 2026, 10:48 a.m. |
Created at: April 10, 2026, 5:13 a.m.