Triple
T15499835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Haddad |
E378920
|
entity |
| Predicate | appearsIn |
P795
|
FINISHED |
| Object | Mao II |
E77312
|
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: Mao II | Statement: [George Haddad, appearsIn, Mao II]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mao II Context triple: [George Haddad, appearsIn, Mao II]
-
A.
Mao II
chosen
Mao II is a 1991 novel by Don DeLillo that explores themes of terrorism, mass media, and the diminishing power of the individual writer in a spectacle-driven world.
-
B.
Mao Chang
Mao Chang is an ancient Chinese scholar traditionally credited with producing one of the most influential commentaries on the Confucian classic "Book of Songs" (Shijing).
-
C.
Mao
Mao is an Omotic language spoken in southwestern Ethiopia, known for its complex tonal system and classification within the Afroasiatic language family.
-
D.
Mao
Mao is a common Chinese surname borne by numerous historical and contemporary figures across politics, culture, and society.
-
E.
Mao Anlong
Mao Anlong was one of Mao Zedong’s sons, who died in childhood and is less documented than his more politically prominent siblings.
- 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_69d85cd53a7c819080f5b9042c4c199e |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03fcb4e8c81908e4ab463e3ae252b |
completed | April 16, 2026, 1:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff3d4a9bf88190b7c6b4874abe165f |
completed | May 9, 2026, 1:57 p.m. |
Created at: April 10, 2026, 3:54 a.m.