Triple
T13933117
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Keynote Speaker |
E335040
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | "Zilla" |
E16133
|
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: "Zilla" | Statement: [The Keynote Speaker, hasPart, "Zilla"]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: "Zilla" Context triple: [The Keynote Speaker, hasPart, "Zilla"]
-
A.
Monstruo Verde
Monstruo Verde is the popular nickname of Honduran football club C.D. Marathón, referencing its traditional green colors and fierce competitive identity.
-
B.
Kaiju
chosen
Kaiju are colossal, monstrous creatures from Japanese science fiction and popular culture, often depicted as city-destroying beasts that battle humanity or other giant monsters.
-
C.
Monster Man
Monster Man is a 2003 American horror-comedy film known for its blend of slasher elements and dark humor.
-
D.
Zzzax
Zzzax is an electricity-based Marvel supervillain composed of pure energy who frequently battles the Hulk and other heroes.
-
E.
The Kaiju Preservation Society
The Kaiju Preservation Society is a science fiction novel by John Scalzi that follows a secret organization tasked with protecting giant interdimensional monsters from both their own world and human exploitation.
- 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_69d81c5f739081908bc05b2461f54828 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2cf28df081908d897d7b9ec7939d |
completed | April 14, 2026, 12:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7ce865ab4819088221189344b3801 |
completed | May 3, 2026, 10:39 p.m. |
Created at: April 9, 2026, 10:17 p.m.