Triple
T12766571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hoot |
E305139
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
Hoot
Hoot is a colloquial nickname commonly used for people or things perceived as amusing, lively, or entertaining.
|
E1001931
|
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: Hoot | Statement: [Hoot, nickname, Hoot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hoot Context triple: [Hoot, nickname, Hoot]
-
A.
Hoot
Hoot is a 2006 family-friendly adventure film based on Carl Hiaasen’s novel, following kids who try to protect endangered burrowing owls from a construction project in Florida.
-
B.
Hoot
Hoot is the nickname of Norman "Hoot" Hooten, a former U.S. Army Delta Force operator whose actions during the Battle of Mogadishu were depicted in the film "Black Hawk Down."
-
C.
Hoot
Hoot was the nickname of Bob Gibson, the Hall of Fame Major League Baseball pitcher renowned for his dominant career with the St. Louis Cardinals.
-
D.
Bridge to Terabithia
Bridge to Terabithia is a children's novel by Katherine Paterson about two friends who create a magical imaginary kingdom, later adapted into a popular film.
-
E.
Tucks
Tucks is a personal care brand best known for its medicated pads and products that provide relief from hemorrhoids and related discomfort.
- 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: Hoot Triple: [Hoot, nickname, Hoot]
Generated description
Hoot is a colloquial nickname commonly used for people or things perceived as amusing, lively, or entertaining.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hoot Target entity description: Hoot is a colloquial nickname commonly used for people or things perceived as amusing, lively, or entertaining.
-
A.
Hoot
Hoot was the nickname of Bob Gibson, the Hall of Fame Major League Baseball pitcher renowned for his dominant career with the St. Louis Cardinals.
-
B.
Hoot
Hoot is a 2006 family-friendly adventure film based on Carl Hiaasen’s novel, following kids who try to protect endangered burrowing owls from a construction project in Florida.
-
C.
Hoot
Hoot is the nickname of Norman "Hoot" Hooten, a former U.S. Army Delta Force operator whose actions during the Battle of Mogadishu were depicted in the film "Black Hawk Down."
-
D.
Bridge to Terabithia
Bridge to Terabithia is a children's novel by Katherine Paterson about two friends who create a magical imaginary kingdom, later adapted into a popular film.
-
E.
Tucks
Tucks is a personal care brand best known for its medicated pads and products that provide relief from hemorrhoids and related discomfort.
- 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_69d7bdf1fcd081909ffb0e0d6fa3a07d |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96df1ef148190af525532fcb0933b |
completed | April 10, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f684f4e1508190a6f023f1d1dc192e |
completed | May 2, 2026, 11:12 p.m. |
| NEDg | Description generation | batch_69f6863fada48190afe2ff7896a60094 |
completed | May 2, 2026, 11:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f686bcac94819088782273effbb06a |
completed | May 2, 2026, 11:20 p.m. |
Created at: April 9, 2026, 5:28 p.m.