Triple
T9548994
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jesse Andrews |
E230369
|
entity |
| Predicate | wrote |
P2831
|
FINISHED |
| Object | Munmun |
E805092
|
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: Munmun | Statement: [Jesse Andrews, wrote, Munmun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Munmun Context triple: [Jesse Andrews, wrote, Munmun]
-
A.
Munmun
chosen
Munmun is a satirical young adult novel by Jesse Andrews that explores extreme economic inequality through a fantastical world where people’s physical size reflects their wealth.
-
B.
Munna
Munna is a 2007 Indian Telugu-language action drama film starring Prabhas as a college student seeking revenge against a powerful mafia leader.
-
C.
Moni
Moni is a small Greek island in the Saronic Gulf, known for its clear waters, pine forests, and free-roaming deer and peacocks.
-
D.
Moni
Moni is a small village in central Flores, Indonesia, known primarily as the main gateway for visitors trekking to the multicolored crater lakes of Mount Kelimutu.
-
E.
Leela
Leela is the one-eyed, tough yet compassionate spaceship captain from the animated television series "Futurama."
- 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_69ca847c70b8819088a0a0bad64a50d6 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd99059138819088ae54b26df979cf |
completed | April 1, 2026, 10:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1528068a481908d5c8037b4591db5 |
completed | April 4, 2026, 6:03 p.m. |
Created at: March 30, 2026, 8:02 p.m.