Triple
T12307706
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hive (MCU) |
E293395
|
entity |
| Predicate | controls |
P760
|
FINISHED |
| Object |
Alisha Whitley
Alisha Whitley is a S.H.I.E.L.D. agent in the Marvel Cinematic Universe who falls under the influence of the parasitic Inhuman Hive.
|
E983621
|
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: Alisha Whitley | Statement: [Hive (MCU), controls, Alisha Whitley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alisha Whitley Context triple: [Hive (MCU), controls, Alisha Whitley]
-
A.
Alisha Woods
Alisha Woods is known as the wife of American professional ice hockey player Zach Parise.
-
B.
Alisha Bailey
Alisha Bailey is an actress known for her role in the action film "Backdraft 2."
-
C.
Tasha McCauley
Tasha McCauley is an American robotics engineer and tech entrepreneur known for co-founding the robotics company Fellow Robots and for her work at the intersection of technology and innovation.
-
D.
Anjelah Johnson
Anjelah Johnson is an American stand-up comedian, actress, and former MADtv cast member best known for her viral nail salon and Bon Qui Qui comedy sketches.
-
E.
Talisha Searcy
Talisha Searcy is an American local politician who serves as the mayor of Takoma Park, Maryland.
- 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: Alisha Whitley Triple: [Hive (MCU), controls, Alisha Whitley]
Generated description
Alisha Whitley is a S.H.I.E.L.D. agent in the Marvel Cinematic Universe who falls under the influence of the parasitic Inhuman Hive.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alisha Whitley Target entity description: Alisha Whitley is a S.H.I.E.L.D. agent in the Marvel Cinematic Universe who falls under the influence of the parasitic Inhuman Hive.
-
A.
Alisha Woods
Alisha Woods is known as the wife of American professional ice hockey player Zach Parise.
-
B.
Alisha Bailey
Alisha Bailey is an actress known for her role in the action film "Backdraft 2."
-
C.
Tasha McCauley
Tasha McCauley is an American robotics engineer and tech entrepreneur known for co-founding the robotics company Fellow Robots and for her work at the intersection of technology and innovation.
-
D.
Anjelah Johnson
Anjelah Johnson is an American stand-up comedian, actress, and former MADtv cast member best known for her viral nail salon and Bon Qui Qui comedy sketches.
-
E.
Talisha Searcy
Talisha Searcy is an American local politician who serves as the mayor of Takoma Park, Maryland.
- 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_69d6ab6a2b50819082f6aedd32ed608a |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f01ace8819087f245b9216f4dc8 |
completed | April 10, 2026, 6:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63eedd7a4819082f2049dcfff6401 |
completed | May 2, 2026, 6:14 p.m. |
| NEDg | Description generation | batch_69f6400fe9888190ae8244ccc8e8bc39 |
completed | May 2, 2026, 6:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f64168d23881908daee7d7cba2160d |
completed | May 2, 2026, 6:24 p.m. |
Created at: April 8, 2026, 9:53 p.m.