Triple
T15673285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James P. Sullivan |
E377372
|
entity |
| Predicate | position |
P8
|
FINISHED |
| Object |
Top Scarer
Top Scarer is the prestigious title awarded to the most successful and fear-inducing monster employee at Monsters, Inc.
|
E1170938
|
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: Top Scarer | Statement: [James P. Sullivan, position, Top Scarer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Top Scarer Context triple: [James P. Sullivan, position, Top Scarer]
-
A.
Scare Package
Scare Package is a 2019 horror-comedy anthology film that parodies and pays homage to classic horror movie tropes.
-
B.
The Horror
"The Horror" is an instrumental hip-hop track by producer RJD2, known for its cinematic sampling, eerie atmosphere, and intricate beat construction.
-
C.
Dare to Be Scared
Dare to Be Scared is a children's horror short story collection by Robert D. San Souci known for its spooky, suspenseful tales and twist endings.
-
D.
Scauri
Scauri is a coastal town in central Italy’s Lazio region, known for its beaches along the Tyrrhenian Sea and its proximity to the Gulf of Gaeta.
-
E.
Adventure into Fear
Adventure into Fear is a 1970s Marvel Comics horror anthology series best known for featuring characters like Man-Thing and Morbius the Living Vampire.
- 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: Top Scarer Triple: [James P. Sullivan, position, Top Scarer]
Generated description
Top Scarer is the prestigious title awarded to the most successful and fear-inducing monster employee at Monsters, Inc.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Top Scarer Target entity description: Top Scarer is the prestigious title awarded to the most successful and fear-inducing monster employee at Monsters, Inc.
-
A.
Scare Package
Scare Package is a 2019 horror-comedy anthology film that parodies and pays homage to classic horror movie tropes.
-
B.
The Horror
"The Horror" is an instrumental hip-hop track by producer RJD2, known for its cinematic sampling, eerie atmosphere, and intricate beat construction.
-
C.
Dare to Be Scared
Dare to Be Scared is a children's horror short story collection by Robert D. San Souci known for its spooky, suspenseful tales and twist endings.
-
D.
Scauri
Scauri is a coastal town in central Italy’s Lazio region, known for its beaches along the Tyrrhenian Sea and its proximity to the Gulf of Gaeta.
-
E.
Adventure into Fear
Adventure into Fear is a 1970s Marvel Comics horror anthology series best known for featuring characters like Man-Thing and Morbius the Living Vampire.
- 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_69d85cd2e28481909d4e975bee20872f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04f2c996c8190a9ebe0e92608feaa |
completed | April 16, 2026, 2:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff6edb12bc8190b2c5558190671ae5 |
completed | May 9, 2026, 5:28 p.m. |
| NEDg | Description generation | batch_69ff6fa2b0b881908fa7af973ee0bb6f |
completed | May 9, 2026, 5:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff707d1db4819097aa9402ce0abb97 |
completed | May 9, 2026, 5:35 p.m. |
Created at: April 10, 2026, 4:16 a.m.