Triple
T36281169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hannibal Chew |
E892944
|
entity |
| Predicate | eyeTypeProduced |
P39138
|
FINISHED |
| Object |
Replicant eyes
Replicant eyes are the artificial, bioengineered eyes created for synthetic humans in the Blade Runner universe, crucial to their identity and often used as a visual motif to distinguish them from real humans.
|
E2176794
|
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: Replicant eyes | Statement: [Hannibal Chew, eyeTypeProduced, Replicant eyes]
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: Replicant eyes Triple: [Hannibal Chew, eyeTypeProduced, Replicant eyes]
Generated description
Replicant eyes are the artificial, bioengineered eyes created for synthetic humans in the Blade Runner universe, crucial to their identity and often used as a visual motif to distinguish them from real humans.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eyeTypeProduced Context triple: [Hannibal Chew, eyeTypeProduced, Replicant eyes]
-
A.
eyeType
chosen
Indicates the specific kind or category of eyes an entity has, such as their form, structure, or visual style.
-
B.
oculusDiameter
Indicates the diameter measurement of an oculus (a circular opening), relating the opening to the size of its circular span.
-
C.
eyeCharacteristic
Indicates a relationship where an entity possesses a specific attribute, feature, or quality of its eyes.
-
D.
eyeCount
Indicates the number of eyes an entity has.
-
E.
hasEyes
Indicates that an entity possesses eyes as physical features.
- 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_69f76e4955c08190b8cfddca34fc0242 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7ba6d06f48190a71b5a2f19e2232f |
completed | May 3, 2026, 9:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a396e196e5c8190935a98180bdf1fe0 |
completed | June 22, 2026, 5:17 p.m. |
| NEDg | Description generation | batch_6a396fe4e80c81909bb4e20087f46214 |
completed | June 22, 2026, 5:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a3972b9e1208190896dd528ca98bbbc |
completed | June 22, 2026, 5:36 p.m. |
| PD | Predicate disambiguation | batch_69f7b9a4aad48190a62e41c5e39339d9 |
completed | May 3, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:09 p.m.