Triple
T38599335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thus Do They All |
E934165
|
entity |
| Predicate | hasEnglishMeaningOfOriginalTitle |
P136550
|
FINISHED |
| Object | Thus do they all (women are like that) |
—
|
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: Thus do they all (women are like that) | Statement: [Thus Do They All, hasEnglishMeaningOfOriginalTitle, Thus do they all (women are like that)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEnglishMeaningOfOriginalTitle Context triple: [Thus Do They All, hasEnglishMeaningOfOriginalTitle, Thus do they all (women are like that)]
-
A.
hasOriginalTitleMeaning
Indicates that an entity’s original title conveys or is associated with a particular meaning or interpretation.
-
B.
hasOriginalWorkEnglishTitle
Indicates that an entity has an associated original work whose title is given in English.
-
C.
hasMeaningInOriginLanguage
Indicates that something (such as a word, phrase, or symbol) possesses a specific meaning in its original or source language.
-
D.
hasApproximateEnglishTitle
chosen
Indicates that an entity is associated with an English title that is an approximate or non-exact rendering of its original title.
-
E.
hasTitleInEnglishOrthography
Indicates that an entity has a specific title expressed using English spelling and writing conventions.
- 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_69f76ecc17688190b389b693a5927501 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fe6e492bf8819080b25221d13445ea |
completed | May 8, 2026, 11:14 p.m. |
| PD | Predicate disambiguation | batch_69fe6dd33a6881908fe9bbbc184cab51 |
completed | May 8, 2026, 11:12 p.m. |
Created at: May 3, 2026, 4:32 p.m.