Triple
T16723988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Whiskey Tango Foxtrot |
E406420
|
entity |
| Predicate | hasAlternativeTitle |
P39
|
FINISHED |
| Object |
WTF
WTF is a 2016 satirical war comedy film starring Tina Fey as a journalist covering the war in Afghanistan.
|
E1231311
|
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: WTF | Statement: [Whiskey Tango Foxtrot, hasAlternativeTitle, WTF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WTF Context triple: [Whiskey Tango Foxtrot, hasAlternativeTitle, WTF]
-
A.
WTF
WTF is the Australian Securities Exchange (ASX) ticker symbol for Wotif Group, an online travel booking company.
-
B.
WTF (Where They From)
"WTF (Where They From)" is a 2015 hip hop single by Missy Elliott featuring Pharrell Williams, known for its inventive production, rapid-fire wordplay, and visually striking music video.
-
C.
WT
WT is the international governing body responsible for overseeing and promoting the sport of taekwondo worldwide.
-
D.
WUT WUT
WUT WUT is an electronic dance music album by American DJ and producer Dillon Francis, known for its Latin-influenced tracks and collaborations with various reggaeton and Latin artists.
-
E.
WOAH
WOAH is the acronym for the World Organisation for Animal Health, an intergovernmental body that sets international standards for animal health and welfare.
- 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: WTF Triple: [Whiskey Tango Foxtrot, hasAlternativeTitle, WTF]
Generated description
WTF is a 2016 satirical war comedy film starring Tina Fey as a journalist covering the war in Afghanistan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: WTF Target entity description: WTF is a 2016 satirical war comedy film starring Tina Fey as a journalist covering the war in Afghanistan.
-
A.
WTF
WTF is the Australian Securities Exchange (ASX) ticker symbol for Wotif Group, an online travel booking company.
-
B.
WTF (Where They From)
"WTF (Where They From)" is a 2015 hip hop single by Missy Elliott featuring Pharrell Williams, known for its inventive production, rapid-fire wordplay, and visually striking music video.
-
C.
WT
WT is the international governing body responsible for overseeing and promoting the sport of taekwondo worldwide.
-
D.
WUT WUT
WUT WUT is an electronic dance music album by American DJ and producer Dillon Francis, known for its Latin-influenced tracks and collaborations with various reggaeton and Latin artists.
-
E.
WOAH
WOAH is the acronym for the World Organisation for Animal Health, an intergovernmental body that sets international standards for animal health and welfare.
- 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_69d8838f242881908abd8bc138795886 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e38745d2048190b476e5aa83ec7fec |
completed | April 18, 2026, 1:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a009d43c49081908eca922da8f90793 |
completed | May 10, 2026, 2:59 p.m. |
| NEDg | Description generation | batch_6a00a19d8dc08190be5d750f71b083dc |
completed | May 10, 2026, 3:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00a269cacc81909d084c5d3497a4e6 |
completed | May 10, 2026, 3:21 p.m. |
Created at: April 10, 2026, 5:20 a.m.