Triple
T37375781
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anna Madrigal |
E927975
|
entity |
| Predicate | nameIsAnagramOf |
P188004
|
FINISHED |
| Object | A man and a girl |
—
|
LITERAL 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: A man and a girl | Statement: [Anna Madrigal, nameIsAnagramOf, A man and a girl]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nameIsAnagramOf Context triple: [Anna Madrigal, nameIsAnagramOf, A man and a girl]
-
A.
isPlayOnWordsWith
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.
-
B.
isHomographOf
Indicates that two words share the same written form but have different meanings, and possibly different pronunciations or origins.
-
C.
isSuperstring
Indicates that one string contains another string as a contiguous subsequence or in its entirety, making it a superstring of the other.
-
D.
isContractionOf
Indicates that one term is a shortened or combined form derived from another, more complete expression.
-
E.
hasDistinctLetters
Indicates that all letters in the given string or word are unique, with no character repeated.
- F. None of above. chosen
Provenance (4 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_69f76eb820248190a5c395ca50ad002a |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb9e1845e881908d19158440cf3b87 |
completed | May 6, 2026, 8:01 p.m. |
| PD | Predicate disambiguation | batch_69fb8d08d6988190a00794ac26078348 |
completed | May 6, 2026, 6:48 p.m. |
| PDg | Predicate description generation | batch_69fb9e173f348190b7ab5935e4dca039 |
completed | May 6, 2026, 8:01 p.m. |
Created at: May 3, 2026, 4:16 p.m.