Triple
T31193541
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tug of Peace |
E795248
|
entity |
| Predicate | isTitleWordplayOn |
P37943
|
FINISHED |
| Object | Tug of War |
—
|
NE NERFINISHED |
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: Tug of War | Statement: [Tug of Peace, isTitleWordplayOn, Tug of War]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isTitleWordplayOn Context triple: [Tug of Peace, isTitleWordplayOn, Tug of War]
-
A.
hasTitlePun
Indicates that an entity’s title involves a pun or wordplay, typically combining multiple meanings or sounds for humorous or clever effect.
-
B.
isPlayOnWordsWith
chosen
Indicates a relationship where one expression is a pun or wordplay that depends on, echoes, or cleverly twists the wording or meaning of another expression.
-
C.
isTitleCharacterOfSong
Indicates that a character is mentioned in or constitutes the title of a specific song.
-
D.
isOneWordTitle
Indicates that the title consists of exactly one word.
-
E.
hasEnigmaticTitle
Indicates that an entity possesses a title or designation that is mysterious, obscure, or difficult to interpret.
- F. None of above.
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_69f224d7a6a481908187c4362a8a525f |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69dfdda708190be290c7bec205445 |
completed | May 3, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69f69d1a37e081908d1d86b90ff502bd |
completed | May 3, 2026, 12:55 a.m. |
Created at: April 29, 2026, 9:09 p.m.