Triple
T11020454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Princess Ahmanet |
E260472
|
entity |
| Predicate | enemy |
P4567
|
FINISHED |
| Object |
Prodigium
Prodigium is a secretive organization in the 2017 film "The Mummy" that studies, contains, and combats supernatural threats.
|
E899706
|
NE FINISHED |
How this triple was built (4 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: Prodigium | Statement: [Princess Ahmanet, enemy, Prodigium]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Prodigium Context triple: [Princess Ahmanet, enemy, Prodigium]
-
A.
Eidolon
Eidolon is a genus of large African fruit bats known for their long-distance migrations and important role in seed dispersal.
-
B.
Eidolon
Eidolon is an online classics journal and magazine that presents accessible, socially engaged writing on the ancient world for a broad contemporary audience.
-
C.
Prysm
Prysm is a widely used Ethereum consensus client implementation written in Go that helps manage validators and secure the network under proof-of-stake.
-
D.
Luminary
Luminary is a record label associated with the influential hip-hop duo Black Star, known for its role in underground and conscious rap music.
-
E.
Exameron
Exameron is a theological and exegetical work by Saint Ambrose of Milan that offers a Christian commentary on the six days of Creation in the Book of Genesis.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Prodigium Triple: [Princess Ahmanet, enemy, Prodigium]
Generated description
Prodigium is a secretive organization in the 2017 film "The Mummy" that studies, contains, and combats supernatural threats.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Prodigium Target entity description: Prodigium is a secretive organization in the 2017 film "The Mummy" that studies, contains, and combats supernatural threats.
-
A.
Eidolon
Eidolon is a genus of large African fruit bats known for their long-distance migrations and important role in seed dispersal.
-
B.
Eidolon
Eidolon is an online classics journal and magazine that presents accessible, socially engaged writing on the ancient world for a broad contemporary audience.
-
C.
Prysm
Prysm is a widely used Ethereum consensus client implementation written in Go that helps manage validators and secure the network under proof-of-stake.
-
D.
Luminary
Luminary is a record label associated with the influential hip-hop duo Black Star, known for its role in underground and conscious rap music.
-
E.
Exameron
Exameron is a theological and exegetical work by Saint Ambrose of Milan that offers a Christian commentary on the six days of Creation in the Book of Genesis.
- F. None of above. chosen
Provenance (5 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_69d6aa9687448190b28d353b1b6a610e |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797baad408190a53fd6941a750f68 |
completed | April 9, 2026, 12:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e374e550508190aa3779191196f329 |
completed | April 18, 2026, 12:11 p.m. |
| NEDg | Description generation | batch_69e378df767c819099d0bfdf35eaf5f3 |
completed | April 18, 2026, 12:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e37bf526108190b5fc22569fe6be54 |
completed | April 18, 2026, 12:41 p.m. |
Created at: April 8, 2026, 9:25 p.m.