Triple
T17182007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Walter Faber |
E417006
|
entity |
| Predicate | appearsIn |
P795
|
FINISHED |
| Object | Homo Faber |
E91530
|
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: Homo Faber | Statement: [Walter Faber, appearsIn, Homo Faber]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Homo Faber Context triple: [Walter Faber, appearsIn, Homo Faber]
-
A.
Homo Faber
chosen
Homo Faber is a 1957 existential novel by Swiss author Max Frisch that follows a rational engineer whose ordered worldview unravels through a series of tragic coincidences and revelations.
-
B.
Babel Tower
"Babel Tower" is a 1996 novel by A. S. Byatt that intricately weaves themes of language, law, and personal freedom within a richly detailed portrayal of 1960s England.
-
C.
The Fixer
"The Fixer" is a 2009 rock song by Pearl Jam, known as the energetic lead single from their album *Backspacer*.
-
D.
The Fixer
The Fixer is a 1968 drama film adaptation of Bernard Malamud’s novel, featuring Alan Bates in an acclaimed performance as a Jewish handyman falsely accused of ritual murder in Tsarist Russia.
-
E.
The Fixer
The Fixer is a film directed by British filmmaker Justin Chadwick, best known for his work on character-driven dramas.
- 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_69d886d5f34c8190b24564dfaa63f3fb |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42d934ec08190acc47073758ac3c0 |
completed | April 19, 2026, 1:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a014847a19481909b1249c2fe428bfc |
completed | May 11, 2026, 3:08 a.m. |
Created at: April 10, 2026, 5:37 a.m.