Triple
T16191101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Phantom |
E392940
|
entity |
| Predicate | hasAllegianceInStory |
P47185
|
FINISHED |
| Object | fictional Palestinian militant group |
—
|
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: fictional Palestinian militant group | Statement: [The Phantom, hasAllegianceInStory, fictional Palestinian militant group]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAllegianceInStory Context triple: [The Phantom, hasAllegianceInStory, fictional Palestinian militant group]
-
A.
hadAllegiance
Indicates that an entity was loyally committed or formally bound in support or service to another entity, such as a person, group, or cause.
-
B.
hasAllyInStory
Indicates that one entity is portrayed as an ally or supportive partner of another entity within the context of a specific story or narrative.
-
C.
protagonistAllegiance
chosen
Indicates the group, cause, or side with which the main character is aligned or to which they show loyalty.
-
D.
allegianceArc
Indicates a change or evolution in an entity’s loyalty or allegiance to another entity over time.
-
E.
stateAllegiance
Indicates that one entity formally declares loyalty or support to another entity, such as a person, group, or state.
- 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_69d87f1e49ac8190a311b54d32990576 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e222d5769c8190bbb604bfa095a1a5 |
completed | April 17, 2026, 12:08 p.m. |
| PD | Predicate disambiguation | batch_69e219e11f6081909106b1240a17fd37 |
completed | April 17, 2026, 11:30 a.m. |
Created at: April 10, 2026, 5:02 a.m.