Triple
T21389539
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lacey Farrell |
E527603
|
entity |
| Predicate | linkedToCharacterType |
P100869
|
FINISHED |
| Object | ordinary person in extraordinary danger |
—
|
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: ordinary person in extraordinary danger | Statement: [Lacey Farrell, linkedToCharacterType, ordinary person in extraordinary danger]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: linkedToCharacterType Context triple: [Lacey Farrell, linkedToCharacterType, ordinary person in extraordinary danger]
-
A.
relatedCharacterType
Indicates that one character has a specified type of relationship or role in connection to another character.
-
B.
associatedWithFilmCharacterType
chosen
Indicates that an entity has an association or connection with a particular type or category of film character.
-
C.
associatedWithCharacterGroup
Indicates that an entity has a connection or affiliation with a particular group of characters.
-
D.
heldByCharacterType
Indicates that something (such as an item, role, or status) is possessed or carried by a character of a specified type.
-
E.
associatedWithCharacterFamily
Indicates a relationship where something is linked or connected to a particular character’s family.
- 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_69e0b51ff3748190935c0a513c62a12b |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b0f8ae288190b43df9fe2841a822 |
completed | April 22, 2026, 11:28 a.m. |
| PD | Predicate disambiguation | batch_69e6162bbfc88190a3e75859941b2638 |
completed | April 20, 2026, 12:03 p.m. |
Created at: April 16, 2026, 5:13 p.m.