Triple
T8494436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Complete Robot |
E201061
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Liar! |
E201018
|
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: Liar! | Statement: [The Complete Robot, hasPart, Liar!]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Liar! Context triple: [The Complete Robot, hasPart, Liar!]
-
A.
Liar!
chosen
"Liar!" is a classic Isaac Asimov science fiction short story about a mind-reading robot whose inability to harm humans leads it to tell comforting but ultimately damaging lies.
-
B.
Liar
"Liar" is a 2019 Latin pop-influenced single by Cuban-American singer Camila Cabello, known for its playful lyrics and brass-heavy, danceable production.
-
C.
Liar
"Liar" is a 1992 noise rock album by The Jesus Lizard, widely regarded as one of the band's most intense and critically acclaimed releases.
-
D.
The Liar
"The Liar" is a painting by African-American artist Archibald Motley that exemplifies his vivid, jazz-age depictions of Black urban life and social interaction.
-
E.
The Liar
"The Liar" is a comic novel by Stephen Fry that follows a brilliant but deceitful young man entangled in espionage, sexuality, and storytelling.
- 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_69ca831ee390819095fae73400bbfafc |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe57c01f881908cb77c8c834ac08d |
completed | March 31, 2026, 3:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce6d120f8c819088a1d9b23b621939 |
completed | April 2, 2026, 1:20 p.m. |
Created at: March 30, 2026, 6:13 p.m.