Triple
T20798369
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Angela Bettis |
E511972
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
May
May is a 2002 psychological horror film about a socially isolated young woman whose desperate desire for friendship leads her down a disturbing and violent path.
|
E1452392
|
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: May | Statement: [Angela Bettis, notableWork, May]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: May Context triple: [Angela Bettis, notableWork, May]
-
A.
May
May is a character associated with the Cosey Hotel and Resort, likely playing a significant role in its story or setting.
-
B.
May
May is a fictional character appearing in the universe of the novel "Love."
-
C.
May
May is a feminine given name commonly used in English-speaking countries, often associated with the month of May and sometimes used as a diminutive of names like Mary or Margaret.
-
D.
May
May is the young, unfaithful wife in Geoffrey Chaucer’s "The Merchant’s Tale," whose adultery and manipulation highlight the poem’s darkly comic view of marriage.
-
E.
May
May is a common English surname borne by numerous individuals, including former UK Prime Minister Theresa May.
- 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: May Triple: [Angela Bettis, notableWork, May]
Generated description
May is a 2002 psychological horror film about a socially isolated young woman whose desperate desire for friendship leads her down a disturbing and violent path.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: May Target entity description: May is a 2002 psychological horror film about a socially isolated young woman whose desperate desire for friendship leads her down a disturbing and violent path.
-
A.
May
May is a common English surname borne by numerous individuals, including former UK Prime Minister Theresa May.
-
B.
May
May is the young, unfaithful wife in Geoffrey Chaucer’s "The Merchant’s Tale," whose adultery and manipulation highlight the poem’s darkly comic view of marriage.
-
C.
May
May is a character associated with the Cosey Hotel and Resort, likely playing a significant role in its story or setting.
-
D.
May
May is a fictional character appearing in the universe of the novel "Love."
-
E.
May
May is a feminine given name commonly used in English-speaking countries, often associated with the month of May and sometimes used as a diminutive of names like Mary or Margaret.
- 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_69e0b4cc69f481908e98751e697b9df4 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2ae2c4c819087f620df31dc1aba |
completed | April 21, 2026, 12:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09006b92308190be717770884330c2 |
completed | May 16, 2026, 11:40 p.m. |
| NEDg | Description generation | batch_6a0901d708688190b4fe5f770c969613 |
completed | May 16, 2026, 11:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09023cf27081908eb246367215ae12 |
completed | May 16, 2026, 11:48 p.m. |
Created at: April 16, 2026, 12:39 p.m.