Triple
T15600314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Halloween II |
E375012
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Jimmy
Jimmy is a character in the Halloween horror film franchise, notably appearing as a sympathetic hospital orderly in Halloween II.
|
E1167344
|
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: Jimmy | Statement: [Halloween II, character, Jimmy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jimmy Context triple: [Halloween II, character, Jimmy]
-
A.
Jimmy
Jimmy is the given name of American actor Jimmy Smits, known for his roles in television series such as "L.A. Law," "NYPD Blue," and "The West Wing."
-
B.
Jimmy
Jimmy is a timid, imaginative, and often melodramatic young boy from the animated series "Ed, Edd n Eddy," known for his close friendship with Sarah and frequent misadventures.
-
C.
Jimmy
"Jimmy" is a romantic show tune from the Broadway musical Thoroughly Modern Millie, sung by the title character as she reflects on her conflicted feelings for the man she loves.
-
D.
Jimmy
Jimmy is a masculine given name, often a diminutive of James, commonly used in English-speaking countries.
-
E.
Jimmy
Jimmy is a supporting character in the 1980s crime drama series "The Equalizer," appearing in stories centered on vigilante justice and urban crime.
- 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: Jimmy Triple: [Halloween II, character, Jimmy]
Generated description
Jimmy is a character in the Halloween horror film franchise, notably appearing as a sympathetic hospital orderly in Halloween II.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jimmy Target entity description: Jimmy is a character in the Halloween horror film franchise, notably appearing as a sympathetic hospital orderly in Halloween II.
-
A.
Jimmy
Jimmy is a supporting character in the 1980s crime drama series "The Equalizer," appearing in stories centered on vigilante justice and urban crime.
-
B.
Jimmy
Jimmy is a supporting character in the dark comedy crime film "In Bruges," known for being a foul-mouthed American dwarf actor involved in the protagonists' misadventures.
-
C.
Jimmy
Jimmy is a timid, imaginative, and often melodramatic young boy from the animated series "Ed, Edd n Eddy," known for his close friendship with Sarah and frequent misadventures.
-
D.
Jimmy
Jimmy is the given name of American actor Jimmy Smits, known for his roles in television series such as "L.A. Law," "NYPD Blue," and "The West Wing."
-
E.
Jimmy
Jimmy is a masculine given name, often a diminutive of James, commonly used in English-speaking countries.
- 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_69d85cce25008190b13b52745fbd719b |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e621fc4819097e8e85e7ddfdc6c |
completed | April 16, 2026, 2:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff56cf8e5c8190bf13114ab0a834de |
completed | May 9, 2026, 3:46 p.m. |
| NEDg | Description generation | batch_69ff5acd35648190a204b78f7fb9619c |
completed | May 9, 2026, 4:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff5b3f71148190a96c6f396512c1fd |
completed | May 9, 2026, 4:05 p.m. |
Created at: April 10, 2026, 4:12 a.m.