Triple
T2172447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | If I Only Had a Brain |
E48455
|
entity |
| Predicate | narrativeSeries |
P37385
|
FINISHED |
| Object | one of three wish songs for Oz companions |
—
|
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: one of three wish songs for Oz companions | Statement: [If I Only Had a Brain, narrativeSeries, one of three wish songs for Oz companions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: narrativeSeries Context triple: [If I Only Had a Brain, narrativeSeries, one of three wish songs for Oz companions]
-
A.
narrativeType
Indicates the specific kind or category of narrative (e.g., genre, structural form, or storytelling mode) associated with an entity.
-
B.
networkSeriesRun
Indicates that a television series is broadcast or has its episodes aired on a particular network.
-
C.
narrative
Indicates that one entity tells, presents, or conveys a story or sequence of events about another entity or situation.
-
D.
seriesLocation
Indicates that one entity is the place or venue where a series (such as events, performances, or installments) takes place.
-
E.
reporterSeries
Indicates that a reporter is associated with, contributes to, or is part of a particular series of reports or stories.
- 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_69a88aa3faa48190995b233af6525815 |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc1559ff481908efe3f214b2570dc |
completed | March 7, 2026, 6:10 a.m. |
| PD | Predicate disambiguation | batch_69abbd9efc1c81909a65044a1ffc9038 |
completed | March 7, 2026, 5:54 a.m. |
| PDg | Predicate description generation | batch_69abc153b22481908115e5f582c93f12 |
completed | March 7, 2026, 6:10 a.m. |
Created at: March 4, 2026, 7:45 p.m.