Triple
T35647099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juliet Delos |
E1030040
|
entity |
| Predicate | deathInfluences |
P27814
|
FINISHED |
| Object |
William's descent into darkness
"William's descent into darkness" refers to the progressive moral corruption and transformation of the character William in Westworld, as he evolves from an idealistic newcomer into the ruthless Man in Black.
|
E2150066
|
NE FINISHED |
How this triple was built (3 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: William's descent into darkness | Statement: [Juliet Delos, deathInfluences, William's descent into darkness]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: William's descent into darkness Triple: [Juliet Delos, deathInfluences, William's descent into darkness]
Generated description
"William's descent into darkness" refers to the progressive moral corruption and transformation of the character William in Westworld, as he evolves from an idealistic newcomer into the ruthless Man in Black.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: deathInfluences Context triple: [Juliet Delos, deathInfluences, William's descent into darkness]
-
A.
deathPlaceInfluence
Indicates that the place where an entity died had a significant impact or influence on that entity or its legacy.
-
B.
effectOfDeath
chosen
Indicates the causal impact or consequences that a death has on another entity, state, or process.
-
C.
riskFactorForDeath
Indicates that something increases the likelihood or probability of death occurring.
-
D.
causeOfDeath
Indicates the specific factor, event, or condition that directly resulted in an entity’s death.
-
E.
featuresDeath
Indicates that the subject includes, depicts, or involves a death or deaths as a notable element.
- F. None of above.
Provenance (6 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_69f76e0938088190a8f199631e97dec3 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7aa699d68819081ed363931894ab3 |
completed | May 3, 2026, 8:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a386859b534819092aa59ee71ed0803 |
completed | June 21, 2026, 10:40 p.m. |
| NEDg | Description generation | batch_6a3869b29acc81909f6ea70a562791fe |
completed | June 21, 2026, 10:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a386a217bf08190b7406f400b542e36 |
completed | June 21, 2026, 10:48 p.m. |
| PD | Predicate disambiguation | batch_69f7a8cec6d48190bebfa884b2f938c0 |
completed | May 3, 2026, 7:58 p.m. |
Created at: May 3, 2026, 4:05 p.m.