Triple
T30674694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fifty-State Initiative |
E780879
|
entity |
| Predicate | featureOfSeries |
P201749
|
FINISHED |
| Object | Avengers: The Initiative |
—
|
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: Avengers: The Initiative | Statement: [Fifty-State Initiative, featureOfSeries, Avengers: The Initiative]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featureOfSeries Context triple: [Fifty-State Initiative, featureOfSeries, Avengers: The Initiative]
-
A.
featuresSeries
Indicates that something includes or presents a particular series as part of its content or offering.
-
B.
series4Feature
Indicates that something functions as a feature, component, or characteristic of a specific fourth installment or "Series 4" within a larger sequence or collection.
-
C.
seriesCharacteristic
Indicates that something is a defining feature, attribute, or property associated with a particular series.
-
D.
specialFeatures
Indicates the distinctive or additional characteristics, functionalities, or attributes that set an entity apart from standard or typical versions.
-
E.
alsoFeaturedSeries
Indicates that another series is additionally highlighted or presented alongside the primary series.
- 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_69f224a7fc208190a07d6d3879b31640 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a001adc8c108190ab3a43f6415e2be3 |
completed | May 10, 2026, 5:42 a.m. |
| PD | Predicate disambiguation | batch_6a001a290330819097c2c3123f9014b4 |
completed | May 10, 2026, 5:39 a.m. |
| PDg | Predicate description generation | batch_6a001adbe6588190b7af521508b18898 |
completed | May 10, 2026, 5:42 a.m. |
Created at: April 29, 2026, 8:32 p.m.