Triple
T7821582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red Faber |
E181141
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Faber |
E240981
|
NE 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: Faber | Statement: [Red Faber, familyName, Faber]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Faber Context triple: [Red Faber, familyName, Faber]
-
A.
Faber
Faber is a retired English professor in Ray Bradbury’s dystopian novel "Fahrenheit 451" who secretly mentors the protagonist and represents the value of literature and critical thought in a censored society.
-
B.
Faber
chosen
Faber is a surname most notably associated with Sandra Faber, an influential American astronomer and cosmologist.
-
C.
Faber Factory
Faber Factory is a digital publishing and distribution imprint associated with the British publishing house Faber and Faber, focused on helping publishers and authors manage and distribute e-books.
-
D.
Faber and Faber
Faber and Faber is a renowned independent British publishing house known for its influential catalog of literary fiction, poetry, and drama.
-
E.
Faber Social
Faber Social is a specialist imprint of Faber and Faber focused on publishing books at the intersection of music, culture, and literature.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca828153f48190bdb27ac46f8e0745 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cafa083fe88190a77efb7cfee4bd6f |
completed | March 30, 2026, 10:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb149bae408190a931ecbc803b0850 |
completed | March 31, 2026, 12:26 a.m. |
Created at: March 30, 2026, 4:41 p.m.