Triple
T19983697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Galbraith |
E493881
|
entity |
| Predicate | revealedAsPseudonymIn |
P138178
|
FINISHED |
| Object | 2013 |
—
|
LITERAL 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: 2013 | Statement: [Robert Galbraith, revealedAsPseudonymIn, 2013]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: revealedAsPseudonymIn Context triple: [Robert Galbraith, revealedAsPseudonymIn, 2013]
-
A.
pseudonymCoinedBy
Indicates that a particular pseudonym was created or invented by a specific agent or source.
-
B.
firstPublishedUnderPseudonym
Indicates that a work’s initial publication occurred under a pseudonym rather than the creator’s real name.
-
C.
pseudonymInspiredBy
Indicates that a pseudonym was chosen or created based on, or in homage to, another name, person, work, or concept.
-
D.
pseudonymOfArtist
Indicates that one name is a pseudonym used by an artist as an alternative to their real or primary name.
-
E.
pseudonymOfWriter
Indicates that one entity is a pseudonym used by a writer who is represented by the other entity.
- F. None of above. chosen
Provenance (4 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_69da626a67648190af9653832a3aeced |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65d157d088190af861608936e59b7 |
completed | April 20, 2026, 5:06 p.m. |
| PD | Predicate disambiguation | batch_69e537fae79c81909eae39500766d0b6 |
completed | April 19, 2026, 8:15 p.m. |
| PDg | Predicate description generation | batch_69e543c42c688190a22f4d31ec692377 |
completed | April 19, 2026, 9:06 p.m. |
Created at: April 11, 2026, 3:28 p.m.