Triple
T2187579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | My Favorite Husband |
E49185
|
entity |
| Predicate | scriptAdaptedFor |
P1926
|
FINISHED |
| Object | I Love Lucy television pilot |
—
|
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: I Love Lucy television pilot | Statement: [My Favorite Husband, scriptAdaptedFor, I Love Lucy television pilot]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scriptAdaptedFor Context triple: [My Favorite Husband, scriptAdaptedFor, I Love Lucy television pilot]
-
A.
scriptAdaptationFrom
Indicates that a script is adapted or derived from a pre-existing source work (such as a book, play, or earlier script).
-
B.
script
Indicates that an entity is associated with a written text or code (such as a screenplay, program, or written instructions) that defines its content or behavior.
-
C.
scriptEvolution
Indicates how a script or written system changes, develops, or transforms over time in relation to its earlier or later forms.
-
D.
scriptDirection
Indicates the direction in which a writing system or script is read or written (e.g., left-to-right, right-to-left, top-to-bottom).
-
E.
adaptedAs
chosen
Indicates that one work, concept, or entity has been transformed or re-created into another form or medium based on the original.
- 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_69a88aa72d348190a9544bb5b8a4e71d |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abbf9e99f08190892d34485c8f2f25 |
completed | March 7, 2026, 6:03 a.m. |
| PD | Predicate disambiguation | batch_69abbda32d1881909d1fd83a751fb21c |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:45 p.m.